CN115329722A - System and method for automatically processing elements of ground object labeling of remote sensing image - Google Patents
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Abstract
The invention discloses an automatic element processing system and method for ground object labels of remote sensing images, which relate to the technical field of remote sensing image processing, and the system comprises an information acquisition module and a label modification module, wherein the label modification module is arranged, so that the system can modify the ground object labels in the remote sensing images according to the clicking habits of users on the ground object labels, can thicken the ground object labels which are clicked by users in a key point mode, can quickly find the ground object labels when the users look up, can fade the ground object labels which are clicked by users in an early warning mode, and is provided with an element top module, so that the system can display the same type of element information on the ground object labels according to the checking records of the users on the element information in the ground object labels, and does not need the users to specially click the ground object labels and select the element information to look up.
Description
Technical Field
The invention relates to the technical field of remote sensing image processing, in particular to an automatic element processing system and method for ground object labeling of remote sensing images.
Background
The remote sensing image is a film or a photo for recording electromagnetic waves of various ground objects, and is mainly divided into an aerial photo and a satellite photo. Marking the ground features in the remote sensing image is an important subject in the field of remote sensing images, and currently, a method for marking the ground features in the remote sensing image is also comprehensively applied in the field of wheat planting.
In the field of wheat planting at present, when a user needs to check element information in a surface feature label, the user firstly needs to log in a system, then clicks the surface feature label to be checked, the element information of the surface feature label is displayed after clicking, and then the user clicks the element information to be checked according to the requirement. In the existing system, when the number of surface feature labels in the remote sensing image is too large, a user cannot quickly select the surface feature labels to be checked, and therefore checking and extracting efficiency of element information is low. The conventional system cannot rapidly extract the same type of element information according to the viewing record of the user, and the user needs to click the ground feature label and select the element information to be viewed every time the user views the same type of element information.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide an automatic element processing system and method for remote sensing image surface feature labeling.
In order to realize the purpose, the invention provides the following technical scheme:
an automatic element processing system for remote sensing image surface feature marking comprises an information acquisition module and a marking modification module;
the information acquisition module is used for acquiring element information of ground object marks in the remote sensing images and sending the element information to the server for storage; the element information comprises the planting area of the wheat in the current month, the yield of the wheat in the current month and the qualification rate of the wheat in the current month.
The label modification module is used for modifying the surface feature label in the remote sensing image according to the clicking habit of the user to the surface feature label, and specifically comprises the following steps:
the method comprises the following steps: acquiring the click times of each ground feature label of the user every day 30 days before the current time of the system, marking the click times of each ground feature label as historical click times, setting each historical click time to correspond to a hidden click time, comparing the historical click times with the hidden click times, and when the historical click times are smallWhen the number of hidden clicks is counted, the historical click number is marked as an early-warning click number, numerical difference calculation is carried out on the hidden click number and the early-warning click number, early-warning click difference is obtained and marked as La, an early-warning click difference coefficient is set to be Rc, and a formula is utilized
Acquiring an early warning value Mf of the ground object label; wherein i =1,2, …, n is the number of days;
when the historical click times are larger than the hidden click times, marking the historical click times as key click times, calculating the numerical difference between the key click times and the hidden click times to obtain key click differences, marking the key click differences as Pe, setting a key click difference coefficient as Sk, and utilizing a formula to calculate the key click difference according to the numerical difference, wherein the key click difference coefficient is a coefficient of Sk
Obtaining a key value Or of the ground object label; wherein i =1,2, …, n is the number of days;
step two: obtaining early warning click mean Ty and key click mean Es;
step three: acquiring total days Ub of the early warning click times occurring 30 days before the current time of the system, and acquiring total days Ba of the key click times occurring 30 days before the current time of the system;
step four: using formulas
Obtaining the degating value Gj of the surface feature label, wherein m1, m2 and m3 are all preset proportionality coefficients, and utilizing a formula
Obtaining a thickening value Fn of the surface feature label, wherein n1, n2 and n3 are all preset proportionality coefficients, and utilizing a formula
Obtaining a modified value Tm of the ground object label, wherein z1 and z2 are both preset proportionality coefficients, and setting a modification valueThe modification threshold value is Hx, when the modification value Tm is larger than the modification threshold value Hx and the unmarked value Gj is larger than the thickening value Fn, the font marked by the surface feature is faded, and when the modification value Tm is larger than the modification threshold value Hx and the unmarked value Gj is smaller than the thickening value Fn, the font marked by the surface feature is thickened;
the element top-placing module is used for displaying the same type of element information beside the ground feature label according to the viewing record of the user on the element information in the ground feature label.
Further, the element information comprises the planting area of the wheat in the current month, the yield of the wheat in the current month and the qualification rate of the wheat in the current month.
Further, the early warning click mean time Ty and the key click mean time Es are obtained through the following steps: the method comprises the steps of sequencing dates corresponding to early warning clicking times according to time sequence, calculating the difference value of the dates corresponding to two adjacent early warning clicking times to obtain early warning clicking intervals, summing all the early warning clicking intervals, averaging to obtain early warning clicking average Ty, sequencing the dates corresponding to the important clicking times according to the time sequence, calculating the difference value of the dates corresponding to two adjacent important clicking times to obtain important clicking intervals, summing all the important clicking intervals, averaging to obtain important clicking average Es.
Further, the element top module is used for displaying the same type of element information beside the surface feature label according to the viewing record of the user on the element information in the surface feature label, and specifically comprises:
the method comprises the following steps: acquiring a viewing record of a user for the ground object label 30 days before the current time of the system, marking each element information in the viewing record of the ground object label as historical element information, acquiring viewing starting time and viewing ending time corresponding to the historical element information, sequencing the viewing starting time and the viewing ending time in all the historical element information according to the time sequence, calculating the time difference between the viewing ending time and the viewing starting time of one piece of historical element information, and acquiring viewing duration;
step two: obtaining the type of the obtained historical element information, summing the viewing durations of the similar historical element information, and averaging to obtain the similar viewing average duration;
step three: calculating the time difference between the viewing ending time and the viewing starting time of two adjacent similar historical element information which are sequenced according to the time sequence to obtain the viewing average interval Lt of the similar historical element information;
step four: summing the viewing average intervals of the similar historical element information and taking the average value to obtain the total viewing interval Ys;
step five: acquiring the total amount of the user viewing element information 30 days before the current time of the system and marking the total amount as Sz, and acquiring the total amount of the user viewing similar historical element information 30 days before the current time of the system and marking the total amount as Qg;
step six: using formulas
Acquiring element recommendation values Hj of the same type of historical element information, wherein b1, b2, b3 and b4 are all preset proportionality coefficients;
step seven: and sorting the element recommendation values of the similar historical element information according to the size of the values from large to small, and displaying the similar historical element information with the maximum recommendation value beside each ground object label of the user terminal.
Further, calculating a time difference value between the viewing ending time and the viewing starting time of two adjacent similar historical element information sorted according to the time sequence, specifically: marking the viewing ending time of the same type historical element information with the previous time as Hk, marking the viewing starting time of the same type historical element information with the previous time as Hs, marking the viewing ending time of the same type historical element information with the next time as De, marking the viewing starting time of the same type historical element information with the next time as Dp, and utilizing a formula
Obtaining the viewing average interval Lt of the same type of historical element information,wherein a1 and a2 are both preset proportionality coefficients.
Further, an automatic element processing method for remote sensing image surface feature labeling comprises the following steps:
acquiring element information of ground object labels in the remote sensing images, and sending the element information to a server for storage;
modifying the ground object label in the remote sensing image according to the clicking habit of the user to the ground object label;
and displaying the same type of element information beside the ground feature label according to the viewing record of the user on the element information in the ground feature label.
Compared with the prior art, the invention has the following beneficial effects:
1. the system is provided with a mark modification module, so that the system can modify the ground object marks in the remote sensing images according to the clicking habits of users on the ground object marks, the ground object marks which are mainly clicked by the users can be thickened, the ground object marks can be quickly found when the subsequent users check, the ground object marks which are early-warned and clicked by the users can be faded, and the condition that when the users check and find the appointed ground object marks, the other ground object marks influence the checking and finding efficiency of the users is avoided;
2. the system is provided with the element top setting module, so that the same type of element information can be displayed beside the surface feature label according to the viewing record of the user on the element information in the surface feature label, the user does not need to click the surface feature label specially and then select the element information to view, the element information is efficiently processed, when the system faces different users, the same type of element information is directly displayed beside each surface feature label according to the viewing record of the user, and the user can conveniently and quickly extract the required element information.
Drawings
Fig. 1 is a flow chart of an automatic element processing method for remote sensing image surface feature labeling.
Detailed Description
Example 1
Referring to fig. 1, an automatic element processing system for remote sensing image surface feature marking comprises an information acquisition module and a marking modification module;
the information acquisition module is used for acquiring element information of ground object labels in the remote sensing images and sending the element information to the server for storage. The element information comprises the planting area of the wheat in the current month, the yield of the wheat in the current month and the qualification rate of the wheat in the current month.
The mark modification module is used for modifying the ground object marks in the remote sensing images according to the clicking habits of users on the ground object marks, and specifically comprises the following steps:
the method comprises the following steps: obtaining the click times of each ground feature label of the user every day 30 days before the current time of the system, after clicking the ground feature label, displaying the element information corresponding to the ground feature label, such as marking the ground feature as a wheat field icon, when the user clicks the wheat field icon, displaying the planting area of the wheat in the month, the yield of the wheat in the month and the qualification rate of the wheat in the month corresponding to the wheat field icon, marking the click times of each ground feature label as historical click times, setting each historical click time to correspond to a hidden click time, comparing the historical click times with the hidden click times, when the historical click times are less than the hidden click times, marking the historical click times as early warning click times, carrying out numerical difference calculation on the hidden click times and the early warning click times, obtaining click early warning difference, marking the click difference as La, setting an early warning click difference coefficient as Rc, and utilizing a formula to calculate the early warning click difference coefficient as Rc
Acquiring an early warning value Mf of the ground object label; wherein i =1,2, …, n is the number of days;
rc, c =1,2,3, … c; c is a positive integer; r1< R2< R3< … < Rc, and setting each early-warning click difference coefficient to correspond to a range of early-warning click difference, wherein the range comprises (0, L1], (L1, L2], … …, (La-1, la), and when La belongs to (0, L1), the corresponding early-warning click difference coefficient is R1;
when the historical click times are larger than the hidden click times, marking the historical click times as key click times, carrying out numerical difference calculation on the key click times and the hidden click times to obtain key click differences, and obtaining the key click differencesMarking the mark as Pe, setting the key click difference coefficient as Sk, and utilizing a formula
Obtaining a key value Or of the ground object label; wherein i =1,2, …, n is the number of days;
sk, k =1,2,3, … k; k is a positive integer; s1< S2< S3< … < Sk, setting each key click difference coefficient to correspond to a key click difference range comprising (0, P1], (P1, P2], … …, (Pe-1, pe), and when Pe belongs to (0, P1), the corresponding key click difference coefficient is S1;
step two: sorting dates corresponding to the early warning click times according to a time sequence, calculating a difference value of dates corresponding to two adjacent early warning click times to obtain early warning click intervals, summing all the early warning click intervals, taking a mean value to obtain an early warning click mean interval Ty, sorting dates corresponding to key click times according to the time sequence, calculating a difference value of dates corresponding to two adjacent key click times to obtain key click intervals, summing all the key click intervals, taking the mean value to obtain key click mean interval Es;
step three: acquiring total days Ub of the early warning click times occurring 30 days before the current time of the system, and acquiring total days Ba of the key click times occurring 30 days before the current time of the system;
step four: using formulas
Obtaining the degating value Gj of the surface feature label, wherein m1, m2 and m3 are all preset proportionality coefficients, and utilizing a formula
Obtaining a thickening value Fn of the surface feature label, wherein n1, n2 and n3 are all preset proportionality coefficients, and utilizing a formula
Obtain toAnd when the modification value Tm of the ground object label is greater than the modification value threshold Hx and the unmarked value Gj is greater than the thickening value Fn, fading the font of the ground object label, when the ground object label is the wheat field icon, fading the graphic line of the wheat field icon, and when the modification value Tm is greater than the modification value threshold Hx and the unmarked value Gj is less than the thickening value Fn, thickening the font of the ground object label, and when the ground object label is the wheat field icon, thickening the graphic line of the wheat field icon.
Example 2
On the basis of the embodiment 1, the system further comprises an element top module, wherein the element top module is used for displaying the same type of element information beside the surface feature label according to the viewing record of the user on the element information in the surface feature label, and specifically comprises the following steps:
the method comprises the following steps: obtaining the check records of a user for the ground feature labels 30 days before the current time of the system, displaying element information such as the wheat planting area of the current month, the wheat yield of the current month and the wheat qualification rate of the current month after clicking the ground feature labels by the user, belonging to the check records when clicking to open the specific element information, belonging to the check starting time when clicking to open the specific element information, belonging to the check ending time when clicking to close the specific element information, marking each element information in the check records of the ground feature labels as historical element information, obtaining the check starting time and the check ending time corresponding to the historical element information, sequencing the check starting time and the check ending time in all the historical element information according to the time sequence, calculating the time difference between the check ending time and the check starting time of one piece of the historical element information, and obtaining the check duration;
step two: obtaining the type of the historical element information, wherein the type of the historical element information is divided into the planting area of wheat, the yield of the wheat in the current month and the qualification rate of the wheat in the current month, summing the checking duration of the similar historical element information, and averaging to obtain the similar checking average duration;
step three: searching two adjacent similar historical element information sequenced according to time sequenceAnd calculating the time difference between the viewing ending time and the viewing starting time to obtain the viewing average interval Lt of the similar historical element information. Calculating the time difference value between the viewing ending time and the viewing starting time of two adjacent similar historical element information which are sequenced according to the time sequence, wherein the time difference value calculation method specifically comprises the following steps: marking the viewing ending time of the same type historical element information with the previous time as Hk, marking the viewing starting time of the same type historical element information with the previous time as Hs, marking the viewing ending time of the same type historical element information with the next time as De, marking the viewing starting time of the same type historical element information with the next time as Dp, and utilizing a formula
And obtaining the viewing average interval Lt of the similar historical element information, wherein a1 and a2 are both preset proportionality coefficients.
Step four: summing the viewing average intervals of the similar historical element information and taking the average value to obtain the total viewing interval Ys;
step five: acquiring the total amount of the user viewing element information 30 days before the current time of the system and marking the total amount as Sz, and acquiring the total amount of the user viewing similar historical element information 30 days before the current time of the system and marking the total amount as Qg;
step six: using formulas
Acquiring element recommendation values Hj of the same type of historical element information, wherein b1, b2, b3 and b4 are all preset proportionality coefficients;
step seven: sorting the element recommendation values of the same-type historical element information according to the size of the elements from big to small, displaying the same-type historical element information with the largest element recommendation value beside each ground feature label of the user terminal, and displaying the element information of the wheat planting area in the current month beside each ground feature label of the user terminal if the element recommendation value of the wheat planting area in the current month is greater than the element recommendation value of the wheat yield in the current month is greater than the element recommendation value of the wheat qualification rate in the current month.
The working principle is as follows:
the system is provided with a mark modification module, so that the system can modify the ground feature marks in the remote sensing images according to the clicking habits of users on the ground feature marks, the ground feature marks which are clicked by users in a key mode can be thickened, the subsequent users can quickly find the ground feature marks when checking the ground feature marks, the ground feature marks which are clicked by users in an early warning mode can be faded, the condition that the other ground feature marks influence the checking efficiency of the users when checking and searching the appointed ground feature marks is avoided, an element top setting module is arranged, the system can display the same type of element information beside the ground feature marks according to the checking records of the users on the element information in the ground feature marks, the users do not need to specially click the ground feature marks and then select the element information to check, the element information is efficiently processed, when the users face different users, the same type of element information is directly displayed beside each ground feature mark according to the checking records of the users, and the users can conveniently and quickly extract the required element information.
The above description is only a preferred embodiment of the present invention, and the scope of the present invention is not limited to the above embodiments, and all technical solutions that belong to the idea of the present invention belong to the scope of the present invention. It should be noted that modifications and embellishments within the scope of the present template may occur to those of ordinary skill in the art without departing from the principles of the present invention.
Claims (6)
1. An automatic element processing system for remote sensing image surface feature marking is characterized by comprising an information acquisition module, a marking modification module and an element top setting module;
the information acquisition module is used for acquiring element information marked by the ground object in the remote sensing image and sending the element information to the server for storage;
the label modification module is used for modifying the surface feature label in the remote sensing image according to the clicking habit of the user to the surface feature label, and specifically comprises the following steps:
the method comprises the following steps: obtaining the click times of each ground feature label of the user every day 30 days before the current time of the system, marking the click times of each ground feature label as historical click times, setting each historical click time to correspond to a hidden click time, comparing the historical click times with the hidden click times, marking the historical click times as early-warning click times when the historical click times are smaller than the hidden click times, carrying out numerical difference calculation on the hidden click times and the early-warning click times, obtaining early-warning click difference, marking the early-warning click difference as La, setting an early-warning click difference coefficient as Rc, and utilizing a formula to calculate the early-warning click difference and the early-warning click difference to obtain the early-warning click difference, marking the early-warning difference as La, setting the early-warning click difference coefficient as Rc, and utilizing the formula to calculate the early-warning click difference
Acquiring an early warning value Mf of the ground object label; wherein i =1,2, …, n is the number of days;
when the historical click times are larger than the hidden click times, marking the historical click times as key click times, calculating the numerical difference between the key click times and the hidden click times to obtain key click differences, marking the key click differences as Pe, setting a key click difference coefficient as Sk, and utilizing a formula to calculate the key click difference according to the numerical difference, wherein the key click difference coefficient is a coefficient of Sk
Obtaining a key value Or of the ground object label; wherein i =1,2, …, n is the number of days;
step two: obtaining early warning click mean Ty and key click mean Es;
step three: acquiring the total number of days Ub of the early warning click times occurring 30 days before the current time of the system, and acquiring the total number of days Ba of the key click times occurring 30 days before the current time of the system;
step four: using formulas
Obtaining the degating value Gj of the surface feature label, wherein m1, m2 and m3 are all preset proportionality coefficients, and utilizing a formula
Obtaining a thickening value Fn of the surface feature label, wherein n1, n2 and n3 are all preset proportionality coefficients, and utilizing a formula
Obtaining a modification value Tm of the surface feature label, wherein z1 and z2 are both preset proportionality coefficients, the threshold value of the modification value is Hx, when the modification value Tm is larger than the threshold value Hx of the modification value and the degaussing value Gj is larger than the thickening value Fn, the font of the surface feature label is faded, and when the modification value Tm is larger than the threshold value Hx of the modification value and the degaussing value Gj is smaller than the thickening value Fn, the font of the surface feature label is thickened;
the element top-placing module is used for displaying the same type of element information beside the ground feature label according to the viewing record of the user on the element information in the ground feature label.
2. The system of claim 1, wherein the element information comprises a planting area of the current-month wheat, a yield of the current-month wheat, and a yield of the current-month wheat.
3. The system for automatically processing elements of remote sensing image surface feature labeling according to claim 2, wherein the early warning click mean time Ty and the key click mean time Es are obtained by the following steps: the method comprises the steps of sequencing dates corresponding to early warning clicking times according to time sequence, calculating the difference value of the dates corresponding to two adjacent early warning clicking times to obtain early warning clicking intervals, summing all the early warning clicking intervals, averaging to obtain early warning clicking average Ty, sequencing the dates corresponding to the important clicking times according to the time sequence, calculating the difference value of the dates corresponding to two adjacent important clicking times to obtain important clicking intervals, summing all the important clicking intervals, averaging to obtain important clicking average Es.
4. The system of claim 3, wherein the element top module is configured to display element information of the same type beside the landmark according to a viewing record of a user on the element information in the landmark, specifically:
the method comprises the following steps: acquiring a viewing record of a user for the ground object label 30 days before the current time of the system, marking each element information in the viewing record of the ground object label as historical element information, acquiring viewing starting time and viewing ending time corresponding to the historical element information, sequencing the viewing starting time and the viewing ending time in all the historical element information according to the time sequence, calculating the time difference between the viewing ending time and the viewing starting time of one piece of historical element information, and acquiring viewing duration;
step two: obtaining the type of the obtained historical element information, summing the viewing durations of the similar historical element information, and averaging to obtain the similar viewing average duration;
step three: calculating the time difference value between the viewing ending time and the viewing starting time of two adjacent similar historical element information which are sequenced according to the time sequence, and acquiring the viewing average interval Lt of the similar historical element information;
step four: summing the viewing average intervals of the similar historical element information and taking the average value to obtain the total viewing interval Ys;
step five: acquiring the total amount of the user viewing element information 30 days before the current time of the system and marking the total amount as Sz, and acquiring the total amount of the user viewing similar historical element information 30 days before the current time of the system and marking the total amount as Qg;
step six: using formulas
Acquiring element recommendation values Hj of the same type of historical element information, wherein b1, b2, b3 and b4 are all preset proportionality coefficients;
step seven: sorting the element recommendation values of the same-type historical element information from big to small according to the magnitude of the values, and displaying the same-type historical element information with the largest recommendation value beside each ground object label of the user terminal.
5. The system for automatically processing elements of remote sensing image surface feature labeling according to claim 4, wherein a time difference value between the viewing end time and the viewing start time of two adjacent similar historical element information sorted according to time sequence is calculated, specifically: marking the viewing ending time of the same type historical element information with the previous time as Hk, marking the viewing starting time of the same type historical element information with the previous time as Hs, marking the viewing ending time of the same type historical element information with the next time as De, marking the viewing starting time of the same type historical element information with the next time as Dp, and utilizing a formula to obtain the viewing starting time of the same type historical element information with the next time
And obtaining the viewing average interval Lt of the similar historical element information, wherein a1 and a2 are both preset proportionality coefficients.
6. An automatic element processing method for remote sensing image surface feature labeling is applied to the automatic element processing system for remote sensing image surface feature labeling according to any one of claims 1 to 5, and is characterized by comprising the following steps:
acquiring element information of ground object labels in the remote sensing images, and sending the element information to a server for storage;
modifying the ground object label in the remote sensing image according to the clicking habit of the user to the ground object label;
and displaying the same type of element information beside the ground feature label according to the viewing record of the user on the element information in the ground feature label.
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