CN112990168A - Illegal land monitoring method and system - Google Patents

Illegal land monitoring method and system Download PDF

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CN112990168A
CN112990168A CN202110548725.4A CN202110548725A CN112990168A CN 112990168 A CN112990168 A CN 112990168A CN 202110548725 A CN202110548725 A CN 202110548725A CN 112990168 A CN112990168 A CN 112990168A
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target area
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area
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CN112990168B (en
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石焜
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Jiangsu Outlook China Big Data Technology Co ltd
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Abstract

The invention provides a method and a system for monitoring illegal land, which relate to the internet technology, and are characterized in that a remote sensing image of a region to be detected is obtained, and a plurality of building regions in the remote sensing image are identified; marking a target area in the remote sensing image based on a preset rule, and acquiring position information of the target area, wherein the target area is a glass area; judging the position relation between the target area and the nearest building area based on the position information, wherein the position relation comprises a first position relation and a second position relation, the first position relation is that the target area is above the building area, and the second position relation is that the target area is not above the building area; the building type of the target area is determined based on the position relation, the building type comprises a technical scheme of a roof sunlight room and a first-floor sunlight room, and the glass area can be found by identifying the target area in the remote sensing image, so that illegal buildings of the sunlight rooms are found, and illegal land of the pure glass sunlight rooms is effectively monitored.

Description

Illegal land monitoring method and system
Technical Field
The invention relates to the internet technology, in particular to a method and a system for monitoring illegal land.
Background
With the rapid development of urban construction in China, various building types are gradually increased, such as residential buildings, office buildings and the like. In order to prevent illegal land occupation, remote sensing images are generally used to take pictures and determine whether certain areas are occupied by illegal buildings in the prior art.
However, when the remote sensing image is used for image recognition, the remote sensing image is not sensitive to recognition of some pure glass sunlight rooms, and the pure glass sunlight rooms are transparent objects, so that the recognition result is inaccurate, and further illegal land of the pure glass sunlight rooms cannot be effectively monitored.
Disclosure of Invention
The embodiment of the invention provides a method and a system for monitoring illegal land, which can effectively monitor the illegal land of pure glass sunlight rooms.
In a first aspect of the embodiments of the present invention, a method for monitoring illegal land is provided, including:
acquiring a remote sensing image of a region to be detected, and identifying a plurality of building regions in the remote sensing image;
marking a target area in the remote sensing image based on a preset rule, and acquiring position information of the target area, wherein the target area is a glass area;
determining a positional relationship between the target area and the nearest building area based on the positional information, the positional relationship including a first positional relationship and a second positional relationship, the first positional relationship being that the target area is above the building area, the second positional relationship being that the target area is not above the building area;
determining the building types of the target area based on the position relation, wherein the building types comprise a roof sunlight room and a first-floor sunlight room.
Optionally, in a possible implementation manner of the first aspect, the determining the building type of the target area based on the location relationship includes:
if the position relation is the first position relation, determining that the building type of the target area is a roof sunlight room;
and if the position relation is the second position relation and the distance between the target area and the nearest building is less than the preset distance, determining that the building type of the target area is a first-floor sunshine house.
Optionally, in a possible implementation manner of the first aspect, the preset rule is:
and acquiring the brightness value of each pixel point in the remote sensing image, and acquiring the target area based on the brightness value.
Optionally, in a possible implementation manner of the first aspect, the obtaining the target region based on the brightness value includes:
if the brightness value is larger than the preset brightness, marking the pixel point as a first pixel point;
if the area formed by the plurality of connected first pixel points is larger than the preset area, marking the area formed by the plurality of first pixel points as the target area.
Optionally, in a possible implementation manner of the first aspect, the method further includes:
acquiring boundary information of the target area, and sending the position information and the boundary information to an unmanned aerial vehicle, wherein the unmanned aerial vehicle is provided with a ranging sensor;
controlling the unmanned aerial vehicle to reach a specified position based on the position information, and generating a flight path of the unmanned aerial vehicle based on the boundary information;
acquiring first height data of the boundary of the target area based on the ranging sensor, and acquiring second height data in a preset range outside the target area;
and judging whether the target area has a building or not based on the first height data and the second height data.
Optionally, in a possible implementation manner of the first aspect, the unmanned aerial vehicle is further equipped with a camera module;
the method further comprises the following steps:
and if the difference value of the first height data and the second height data is within a preset value, acquiring image information of the target area based on the camera module.
Optionally, in a possible implementation manner of the first aspect, the method further includes:
acquiring underground cavity information of a region to be detected based on an ultrasonic sensor, and judging whether underground buildings exist in the region to be detected or not according to the underground cavity information;
wherein the ultrasonic sensor is mounted on a patrol vehicle.
Optionally, in a possible implementation manner of the first aspect, after the acquiring the roof sunlight room, the first-floor sunlight room, and the underground building, the method further includes:
marking the roof sunlight room, the first-floor sunlight room and the underground building on an electronic map, and comparing the electronic map with a preset map to obtain a comparison result;
marking different places on the electronic map based on the comparison result.
Optionally, in a possible implementation manner of the first aspect, the marking a target region in the remote sensing image based on a preset rule includes:
acquiring a plurality of remote sensing images at a plurality of moments in a preset time period;
and marking the target area in the remote sensing image based on a preset rule and a plurality of remote sensing images.
In a second aspect of the embodiments of the present invention, there is provided a system for monitoring illegal land, including:
the remote sensing module is used for acquiring a remote sensing image of a region to be detected and identifying a plurality of building regions in the remote sensing image;
the identification module is used for marking a target area in the remote sensing image based on a preset rule and acquiring the position information of the target area, wherein the target area is a glass area;
a positioning module, configured to determine a location relationship between the target area and the nearest building area based on the location information, where the location relationship includes a first location relationship and a second location relationship, the first location relationship is that the target area is above the building area, and the second location relationship is that the target area is not above the building area;
and the building module is used for determining the building types of the target area based on the position relation, wherein the building types comprise a roof sunlight room and a first-floor sunlight room.
In a third aspect of the embodiments of the present invention, there is provided an illegal land monitoring device, including: memory, a processor and a computer program, the computer program being stored in the memory, the processor running the computer program to perform the method of the first aspect of the invention as well as various possible aspects of the first aspect.
A fourth aspect of the embodiments of the present invention provides a readable storage medium, in which a computer program is stored, the computer program being, when executed by a processor, configured to implement the method according to the first aspect of the present invention and various possible aspects of the first aspect.
According to the illegal land monitoring method and system, the remote sensing image of the area to be detected is obtained, and a plurality of building areas in the remote sensing image are identified; marking a target area in the remote sensing image based on a preset rule, and acquiring position information of the target area, wherein the target area is a glass area; determining a positional relationship between the target area and the nearest building area based on the positional information, the positional relationship including a first positional relationship and a second positional relationship, the first positional relationship being that the target area is above the building area, the second positional relationship being that the target area is not above the building area; the building type of the target area is determined based on the position relation, the building type comprises a technical scheme of a roof sunlight room and a first-floor sunlight room, the glass area can be found by identifying the target area in the remote sensing image, so that illegal buildings of the sunlight rooms are found, the types of the sunlight rooms are classified by judging the relative position relation between the sunlight rooms and the nearest building area, monitoring personnel can conveniently perform key screening, and then illegal land of the pure glass sunlight rooms is effectively monitored.
Drawings
FIG. 1 is a schematic flow chart of a method for monitoring illegal land according to an embodiment of the present invention;
fig. 2 is a schematic diagram of a pixel point according to an embodiment of the present invention;
FIG. 3 is a schematic structural diagram of an illegal land monitoring system according to an embodiment of the present invention;
fig. 4 is a schematic hardware structure diagram of an illegal land monitoring method and apparatus according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The terms "first," "second," "third," "fourth," and the like in the description and in the claims, as well as in the drawings, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein.
It should be understood that, in various embodiments of the present invention, the sequence numbers of the processes do not mean the execution sequence, and the execution sequence of the processes should be determined by the functions and the internal logic of the processes, and should not constitute any limitation on the implementation process of the embodiments of the present invention.
It should be understood that in the present application, "comprising" and "having" and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
It should be understood that, in the present invention, "a plurality" means two or more. "and/or" is merely an association describing an associated object, meaning that three relationships may exist, for example, and/or B, may mean: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship. "comprises A, B and C" and "comprises A, B, C" means that all three of A, B, C comprise, "comprises A, B or C" means that one of A, B, C comprises, "comprises A, B and/or C" means that any 1 or any 2 or 3 of A, B, C comprises.
It should be understood that in the present invention, "B corresponding to a", "a corresponds to B", or "B corresponds to a" means that B is associated with a, and B can be determined from a. Determining B from a does not mean determining B from a alone, but may be determined from a and/or other information. And the matching of A and B means that the similarity of A and B is greater than or equal to a preset threshold value.
As used herein, "if" may be interpreted as "at … …" or "when … …" or "in response to a determination" or "in response to a detection", depending on the context.
The technical solution of the present invention will be described in detail below with specific examples. The following several specific embodiments may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments.
Referring to fig. 1, which is a schematic flow chart of a method for monitoring illegal land according to an embodiment of the present invention, an execution subject of the method shown in fig. 1 may be a software and/or hardware device. The execution subject of the present application may include, but is not limited to, at least one of: user equipment, network equipment, etc. The user equipment may include, but is not limited to, a computer, a smart phone, a Personal Digital Assistant (PDA), the above mentioned electronic equipment, and the like. The network device may include, but is not limited to, a single network server, a server group of multiple network servers, or a cloud of numerous computers or network servers based on cloud computing, wherein cloud computing is one type of distributed computing, a super virtual computer consisting of a cluster of loosely coupled computers. The present embodiment does not limit this. The method comprises the following steps of S101 to S104:
s101, obtaining a remote sensing image of a region to be measured, and identifying a plurality of building regions in the remote sensing image.
Specifically, the region to be measured may be a certain region of a city, for example, a sunny region in beijing, and the remote sensing image may be an image of the sunny region.
It can be understood that the remote sensing image is sensitive to buildings, the identification is accurate, and for example, buildings such as houses and the like, the building area can be clearly shown in the remote sensing image.
S102, marking a target area in the remote sensing image based on a preset rule, and acquiring position information of the target area, wherein the target area is a glass area.
In particular, since transparent objects (such as a pure glass sunlight room) are generally constructed by pure glass, when the buildings are illegally constructed, the buildings are generally constructed on the roof or in the courtyard of the first floor, and if the buildings are illegally constructed, the buildings belong to illegal buildings and illegal land, and need to be dismantled in time, so that potential safety hazards are avoided.
In the step, a target area needs to be found in the remote sensing image by using a preset rule, namely, a glass area is found from the remote sensing image, so that the target area is likely to be a building of a sunlight room, and the target area can be subjected to key investigation after identification.
And the preset rule is to acquire the brightness value of each pixel point in the remote sensing image and acquire the target area based on the brightness value. It can be understood that, because the sunlight room made of glass reflects light to form a bright spot, the present embodiment obtains the target area by judging the brightness value of each pixel point in the remote sensing image, that is, if an area with a high brightness value is found in the remote sensing image, the area is determined as the target area.
Further on the preset rule, referring to fig. 2, if the brightness value is greater than the preset brightness, the pixel point is marked as a first pixel point, and if the area formed by a plurality of connected first pixel points is greater than the preset area, the area formed by a plurality of first pixel points is marked as the target area. It can be understood that, in order to improve the accuracy of identification, in this embodiment, for a first pixel (a pixel exceeding a preset brightness), a region, which is formed by connecting a plurality of the first pixels and has an area larger than a preset area, is selected as a target region, so as to prevent an erroneous determination due to an excessively large brightness value of one of the pixels, and the area of the first pixel is larger than the preset area, which indicates that the brightness value of the region is really large, the region is likely to be glass, so that the region can be obtained with high accuracy as the target region, that is, a glass building (sunlight room) is likely to exist in the region.
And S103, judging the position relation between the target area and the nearest building area based on the position information, wherein the position relation comprises a first position relation and a second position relation, the first position relation is that the target area is above the building area, and the second position relation is that the target area is not above the building area.
Specifically, when it is determined that a target area has a glass building, the position information of the target area is acquired, and then the position relationship between the target area and the building area on the map is determined by combining the position information of the building area, wherein the first position relationship indicates that the target area is above the building area, and the second position relationship indicates that the target area is not above the building area.
Exemplarily, the position information of the target area is (x 1, y 1) and the position information of the surrounding building area closest to the target area is also (x 1, y 1), then the position relationship between the target area and the building area is the first position relationship, i.e. the target area is above said building area.
For another example, the location information of the target area is (x 1, y 1) and the location information of the surrounding building area closest to the target area is (x 2, y 2), then the location relationship between the target area and the building area is a second location relationship, i.e., the target area is not above the building area.
And S104, determining the building types of the target area based on the position relation, wherein the building types comprise a roof sunlight room and a first-floor sunlight room.
Specifically, if the position relationship is the first position relationship, it is determined that the building type of the target area is a roof sunlight room, and if the position relationship is the second position relationship and the distance between the target area and the nearest building is less than a preset distance, it is determined that the building type of the target area is a first-floor sunlight room.
It is understood that if the target area is above the building area, the building type of the target area may be defined as a one-floor solar house, and if the positional relationship is the second positional relationship and the distance between the target area and the nearest building is less than a preset distance (e.g., 2 meters), the target area is near the nearest building and no longer is the roof of the building, and the building type of the target area is a one-floor solar house.
It should be noted that, in this embodiment, after the type of the building is obtained, the key mark may be performed, and then the key patrol is performed during the patrol, for example, when the building in the target area is marked as a roof sunlight room, a patrol worker may directly go to the roof in the area to check whether there is a roof sunlight room, and when the building in the target area is marked as a first-floor sunlight room, a patrol worker may directly go to the first floor in the corresponding area to check whether there is a first-floor sunlight room.
In order to determine whether there is a glass building in the target area more accurately, this embodiment further includes, on the basis of the foregoing embodiment:
acquiring boundary information of the target area, and sending the position information and the boundary information to an unmanned aerial vehicle, wherein the unmanned aerial vehicle is provided with a ranging sensor;
controlling the unmanned aerial vehicle to reach a specified position based on the position information, and generating a flight path of the unmanned aerial vehicle based on the boundary information;
acquiring first height data of the boundary of the target area based on the ranging sensor, and acquiring second height data in a preset range outside the target area;
and judging whether the target area has a building or not based on the first height data and the second height data.
It can be understood that, in this embodiment, after the unmanned aerial vehicle mounts the ranging sensor, and reaches the position of the target area, the height of the boundary of the target area is measured, and the first height data of the boundary of the target area is obtained, and at the same time, the second height data within a preset range outside the target area, for example, the second height data within 2 meters outside the target area, is obtained,
in practical application, unmanned aerial vehicle can carry two distance measuring sensors, the first altitude data on a measurement target area boundary, the second altitude data in 2 meters outside another measurement target area, also can only carry one distance measuring sensor, and two circles of flight are measured as long as can realize the measurement to first altitude data and second altitude data.
For example, if the first height data is greater than 5 meters and the second height data is less than 1 meter, it indicates that the target area does have buildings, and if the first height data is less than 0.2 meters and the second height data is less than 0.1 meter, it indicates that the target area does not have buildings, and it is likely that the target area is only a glass roof or other reflective object.
The embodiment can eliminate other light-reflecting objects except the sunlight room in the target area to a greater extent through the investigation of the target area, for example, a glass roof of a building or other light-reflecting objects.
On the basis of the above embodiment, if the target area that may be obtained is only the reflection of one piece of glass in the glass house, and the other areas do not reflect light, the difference between the first height data and the second height data may be within a preset value (for example, 0.01 m), so as to prevent erroneous determination, the accuracy of identification is further improved, specifically as follows:
the unmanned aerial vehicle is also provided with a camera module, and the method further comprises the following steps: and if the difference value of the first height data and the second height data is within a preset value, acquiring image information of the target area based on the camera module.
It can be understood that when the difference value between the first height data and the second height data is within a preset value (for example, 0.01 m), the camera module is used for taking a picture to obtain the image information of the target area, and then the image information is uploaded to the management terminal, so that the personnel at the management terminal can view the image information. In addition, since the embodiment only deals with the examination of a special situation, the acquired image information is less, and too much workload is not brought.
In practical application, some underground structures of violating the building are difficult to be discerned by the remote sensing map, for example, violate the basement, and the danger of violating the basement is extremely strong, for example, when violating the building basement and extending to the road below, when having the heavy object to pass through from the road, the road is very likely to be collapsed, in order to monitor the basement, this embodiment still includes:
the method comprises the steps of obtaining underground cavity information of an area to be detected based on an ultrasonic sensor, and judging whether underground buildings exist in the area to be detected or not according to the underground cavity information, wherein the ultrasonic sensor is carried on a patrol vehicle.
It can be understood that, in the patrol vehicle patrol process, the ultrasonic sensor is used for detecting whether an underground cavity exists or not, if so, the underground cavity exists in the region to be detected, the underground cavity can be checked by the aid of the ultrasonic sensor, and accordingly the basement is monitored illegally.
On the basis of the above embodiment, after acquiring the roof sunlight room, the first floor sunlight room and the underground building (basement building), in order to know which place is illegally constructed at a glance, the method further includes:
marking the roof sunlight room, the first-floor sunlight room and the underground building on an electronic map, comparing the electronic map with a preset map, acquiring a comparison result, and marking different places on the electronic map based on the comparison result.
It can be understood that the comparison result is obtained by comparing the marked map with the preset map (which may be a planned map), and different places are marked on the electronic map, so that the monitoring personnel can clearly know the different places (illegal places).
In addition, in practical application, because the relevance between the glass reflection and the sunlight intensity is strong, the embodiment can acquire a plurality of remote sensing images at a plurality of moments in a preset time period, for example, the preset time period can be from 8 am to 6 pm, and the plurality of moments can be the whole moments in the preset time period, then the target areas in the plurality of remote sensing images are acquired by using a preset rule, and finally, the accuracy of acquiring the target areas can be improved by comprehensively comparing.
Referring to fig. 3, which is a schematic structural diagram of an illegal land monitoring system according to an embodiment of the present invention, the illegal land monitoring system 30 includes:
the remote sensing module 31 is configured to obtain a remote sensing image of a region to be measured, and identify a plurality of building regions in the remote sensing image;
the identification module 32 is used for marking a target area in the remote sensing image based on a preset rule and acquiring position information of the target area, wherein the target area is a glass area;
a positioning module 33, configured to determine, based on the location information, a location relationship between the target area and the nearest building area, where the location relationship includes a first location relationship and a second location relationship, where the first location relationship is that the target area is above the building area, and the second location relationship is that the target area is not above the building area;
and the building module 34 is used for determining the building types of the target area based on the position relation, wherein the building types comprise a roof sunlight room and a first-floor sunlight room.
The apparatus in the embodiment shown in fig. 3 can be correspondingly used to perform the steps in the method embodiment shown in fig. 1, and the implementation principle and technical effect are similar, which are not described herein again.
Referring to fig. 4, which is a schematic diagram of a hardware structure of an illegal land monitoring method and apparatus provided by an embodiment of the present invention, the illegal land monitoring apparatus 40 includes: a processor 41, memory 42 and computer programs; wherein
A memory 42 for storing the computer program, which may also be a flash memory (flash). The computer program is, for example, an application program, a functional module, or the like that implements the above method.
A processor 41 for executing the computer program stored in the memory to implement the steps performed by the apparatus in the above method. Reference may be made in particular to the description relating to the preceding method embodiment.
Alternatively, the memory 42 may be separate or integrated with the processor 41.
When the memory 42 is a device independent of the processor 41, the apparatus may further include:
a bus 43 for connecting the memory 42 and the processor 41.
The present invention also provides a readable storage medium, in which a computer program is stored, which, when being executed by a processor, is adapted to implement the methods provided by the various embodiments described above.
The readable storage medium may be a computer storage medium or a communication medium. Communication media includes any medium that facilitates transfer of a computer program from one place to another. Computer storage media may be any available media that can be accessed by a general purpose or special purpose computer. For example, a readable storage medium is coupled to the processor such that the processor can read information from, and write information to, the readable storage medium. Of course, the readable storage medium may also be an integral part of the processor. The processor and the readable storage medium may reside in an Application Specific Integrated Circuits (ASIC). Additionally, the ASIC may reside in user equipment. Of course, the processor and the readable storage medium may also reside as discrete components in a communication device. The readable storage medium may be a read-only memory (ROM), a random-access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.
The present invention also provides a program product comprising execution instructions stored in a readable storage medium. The at least one processor of the device may read the execution instructions from the readable storage medium, and the execution of the execution instructions by the at least one processor causes the device to implement the methods provided by the various embodiments described above.
In the above embodiments of the apparatus, it should be understood that the Processor may be a Central Processing Unit (CPU), other general purpose processors, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of a method disclosed in connection with the present invention may be embodied directly in a hardware processor, or in a combination of the hardware and software modules within the processor.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.

Claims (10)

1. A method for monitoring illegal land use is characterized by comprising the following steps:
acquiring a remote sensing image of a region to be detected, and identifying a plurality of building regions in the remote sensing image;
marking a target area in the remote sensing image based on a preset rule, and acquiring position information of the target area, wherein the target area is a glass area;
determining a positional relationship between the target area and the nearest building area based on the positional information, the positional relationship including a first positional relationship and a second positional relationship, the first positional relationship being that the target area is above the building area, the second positional relationship being that the target area is not above the building area;
determining the building types of the target area based on the position relation, wherein the building types comprise a roof sunlight room and a first-floor sunlight room.
2. The method of claim 1, wherein the determining the building type of the target area based on the positional relationship comprises:
if the position relation is the first position relation, determining that the building type of the target area is a roof sunlight room;
and if the position relation is the second position relation and the distance between the target area and the nearest building is less than the preset distance, determining that the building type of the target area is a first-floor sunshine house.
3. The method according to claim 1, wherein the preset rule is:
and acquiring the brightness value of each pixel point in the remote sensing image, and acquiring the target area based on the brightness value.
4. The method of claim 3, wherein said obtaining the target region based on the brightness value comprises:
if the brightness value is larger than the preset brightness, marking the pixel point as a first pixel point;
if the area formed by the plurality of connected first pixel points is larger than the preset area, marking the area formed by the plurality of first pixel points as the target area.
5. The method of claim 1 or 4, further comprising:
acquiring boundary information of the target area, and sending the position information and the boundary information to an unmanned aerial vehicle, wherein the unmanned aerial vehicle is provided with a ranging sensor;
controlling the unmanned aerial vehicle to reach a specified position based on the position information, and generating a flight path of the unmanned aerial vehicle based on the boundary information;
acquiring first height data of the boundary of the target area based on the ranging sensor, and acquiring second height data in a preset range outside the target area;
and judging whether the target area has a building or not based on the first height data and the second height data.
6. The method according to claim 5, wherein the unmanned aerial vehicle is further provided with a camera module;
the method further comprises the following steps:
and if the difference value of the first height data and the second height data is within a preset value, acquiring image information of the target area based on the camera module.
7. The method of claim 1, further comprising:
acquiring underground cavity information of a region to be detected based on an ultrasonic sensor, and judging whether underground buildings exist in the region to be detected or not according to the underground cavity information;
wherein the ultrasonic sensor is mounted on a patrol vehicle.
8. The method of claim 7, after acquiring the roof sunlight room, the first floor sunlight room and the underground building, further comprising:
marking the roof sunlight room, the first-floor sunlight room and the underground building on an electronic map, and comparing the electronic map with a preset map to obtain a comparison result;
marking different places on the electronic map based on the comparison result.
9. The method of claim 1, wherein the marking of the target area in the remote sensing image based on the preset rule comprises:
acquiring a plurality of remote sensing images at a plurality of moments in a preset time period;
and marking the target area in the remote sensing image based on a preset rule and a plurality of remote sensing images.
10. An illegal land monitoring system, comprising:
the remote sensing module is used for acquiring a remote sensing image of a region to be detected and identifying a plurality of building regions in the remote sensing image;
the identification module is used for marking a target area in the remote sensing image based on a preset rule and acquiring the position information of the target area, wherein the target area is a glass area;
a positioning module, configured to determine a location relationship between the target area and the nearest building area based on the location information, where the location relationship includes a first location relationship and a second location relationship, the first location relationship is that the target area is above the building area, and the second location relationship is that the target area is not above the building area;
and the building module is used for determining the building types of the target area based on the position relation, wherein the building types comprise a roof sunlight room and a first-floor sunlight room.
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