CN109710814B - Multi-source remote sensing data filing processing method and device - Google Patents
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Abstract
The invention discloses a multi-source remote sensing data archiving and processing method and device, and belongs to the technical field of remote sensing. The method comprises the following steps: extracting metadata information of data to be archived, wherein the metadata information comprises an individualized attribute name list and attribute values corresponding to the individualized attribute names; matching the personalized attribute names with standard attribute names in a standard attribute name database, and determining standard attribute names corresponding to the personalized attribute names; and classifying and storing the attribute values corresponding to the personalized attribute names according to the corresponding standard attribute names. The method has the remarkable characteristics of simple and convenient application, strong universality, high automation degree and the like, and is suitable for the field of multi-satellite-source remote sensing data application service.
Description
Technical Field
The invention relates to the technical field of remote sensing, in particular to a multi-source remote sensing data archiving and processing method and device.
Background
With the continuous expansion of China in the field of satellite application in recent years, the comprehensive application of remote sensing data of different types of satellites and loads is gradually started in different industries such as environmental protection, urban construction, land reclamation, comprehensive disaster reduction and the like. Therefore, the need of how to store, jointly query and comprehensively extract is an urgent problem. Metadata files of domestic remote sensing products are mostly described in an xml file format, and foreign remote sensing data also have a large number of metadata files in a txt format besides source files in the xml format. The method adopted at present is to construct a unified attribute extraction tool for the xml files of the leaf nodes of general required information, and for the xml files of the leaf nodes with complex structures or the same levels, a corresponding analysis module needs to be established for the data, so that a large amount of development work is needed when a system adds new types of data. Compared with the file in the xml format, the metadata description file in the txt format has higher flexibility and higher analysis difficulty.
The existing remote sensing data management system adopts an archiving processing flow for determining a data file format, so that related queries are all based on information contained in metadata and are difficult to expand.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a multi-source remote sensing data filing processing method and a device, the method is simple to operate, independent metadata attribute analysis is not required according to a metadata file form, compatibility can be realized only by updating a standard attribute database even if a remote sensing data type is newly added, and a corresponding analysis module is not required to be developed.
The technical scheme of the invention is as follows:
a multi-source remote sensing data archiving and processing method comprises the following steps:
extracting metadata information of data to be archived, wherein the metadata information comprises an individualized attribute name list and attribute values corresponding to the individualized attribute names;
matching the personalized attribute names with standard attribute names in a standard attribute database, and determining standard attribute names and attribute value acquisition modes corresponding to the personalized attribute names;
acquiring attribute values corresponding to the individual attribute names from the metadata information according to the determined attribute value acquisition mode, and generating new metadata information of the data to be archived, wherein the new metadata information comprises the standard attribute names and the attribute values corresponding to the standard attribute names;
and according to the new metadata information, classified storage is carried out on the data to be archived.
In an optional embodiment, the matching the personalized attribute name with a standard attribute name in a standard attribute database to determine a standard attribute name and an attribute value obtaining manner corresponding to each personalized attribute name includes:
judging the name of the data to be archived based on a data name judging regular formula so as to judge whether the data to be archived is effective format data;
and if so, matching the personalized attribute names in the personalized attribute name list with standard attribute names in a standard attribute database one by one, and determining the standard attribute names and attribute value acquisition modes corresponding to the personalized attribute names when the number of the personalized names in the personalized attribute list is consistent with the number of the standard attribute names in the standard attribute database and the personalized attribute names correspond to the standard attribute names one by one.
In an optional embodiment, further comprising:
if not, marking the data to be archived as unidentifiable data.
In an optional embodiment, further comprising:
determining an attribute list of data to be filed and recorded, wherein each attribute name in the attribute list is a uniform standard attribute name;
and establishing a corresponding relation between each standard attribute name and different personalized attribute names in the attribute list according to metadata information of the archived data, and determining an acquisition mode of an attribute value corresponding to each standard attribute name to obtain a standard attribute database.
In an alternative embodiment, the metadata information is in xml format and/or txt format.
In an optional embodiment, after the classifying and storing the data to be archived according to the new metadata information, the method further includes:
determining a data processing scheme corresponding to the data to be archived according to the standard attribute names corresponding to the data to be archived;
and adopting the determined data processing scheme to perform data processing on the data to be archived and storing the processed data.
A multi-source remote sensing data archiving processing device comprises:
the numerical value extraction module is used for extracting metadata information of data to be archived, and the metadata information comprises an individualized attribute name list and attribute values corresponding to the individualized attribute names;
the matching module is used for matching the personalized attribute names with standard attribute names in a standard attribute database and determining standard attribute names and attribute value acquisition modes corresponding to the personalized attribute names;
the updating module is used for acquiring the attribute value corresponding to each personalized attribute name from the metadata information according to the determined attribute value acquisition mode, and generating new metadata information of the data to be archived, wherein the new metadata information comprises the standard attribute name and the attribute value corresponding to the standard attribute name;
and the data storage module is used for storing the data to be archived in a classified manner according to the new metadata information.
In an optional embodiment, the matching module is configured to:
judging the name of the data to be archived based on a data name judging regular formula so as to judge whether the data to be archived is effective format data;
and if so, matching the personalized attribute names in the personalized attribute name list with standard attribute names in a standard attribute database one by one, and determining the standard attribute names and attribute value acquisition modes corresponding to the personalized attribute names when the number of the personalized names in the personalized attribute list is consistent with the number of the standard attribute names in the standard attribute database and the personalized attribute names correspond to the standard attribute names one by one.
In an optional embodiment, the system further comprises an exception data processing module, configured to:
if not, marking the data to be archived as unidentifiable data.
In an optional embodiment, the system further comprises a standard attribute database establishing module, configured to:
determining an attribute list of data to be filed and recorded, wherein each attribute name in the attribute list is a uniform standard attribute name;
and establishing a corresponding relation between each standard attribute name and different personalized attribute names in the attribute list according to metadata information of the archived data, and determining an acquisition mode of an attribute value corresponding to each standard attribute name to obtain a standard attribute database.
In an alternative embodiment, the metadata information is in xml format and/or txt format.
In an optional embodiment, the apparatus further comprises a data processing module, configured to:
determining a data processing scheme corresponding to the data to be archived according to the standard attribute names corresponding to the data to be archived;
and adopting the determined data processing scheme to perform data processing on the data to be archived and storing the processed data.
According to the multi-source remote sensing data filing processing method provided by the embodiment of the invention, personalized attribute names marked with the same attribute in metadata files of different forms are unified into a consistent standard attribute name, corresponding data information is stored in a classified manner according to the standard attribute name, and after data is put in storage, relevant data can be searched according to the standard attribute name corresponding to the personalized attribute name when relevant query is carried out.
Drawings
FIG. 1 is a flowchart of a multi-source remote sensing data archiving and processing method according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of archiving of a multi-source remote sensing data management system according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of a multi-source remote sensing data archiving and processing device according to an embodiment of the present invention.
Detailed Description
The following detailed description of embodiments of the invention will be made with reference to the accompanying drawings and specific examples.
Referring to fig. 1, an embodiment of the present invention provides a multi-source remote sensing data archiving and processing method, including:
step 101: extracting metadata information of data to be archived, wherein the metadata information comprises an individualized attribute name list and attribute values corresponding to the individualized attribute names;
specifically, referring to fig. 2, the data source (data to be archived) of the data management server cluster may be data acquired from different satellites, such as shot image data, collected physical quantity data, and the like, or may be product data formed by receiving and processing data from different ground receiving stations for the same satellite remote sensing data; the metadata information comprises information of different attributes such as satellite names, load sensor numbers, shooting time, latitude and longitude of points under the satellite and the like, wherein each attribute name is a personalized attribute name, for example, the upper left longitude can be named as a personalized name such as 'ULLong', 'Upper LeftLong' or 'ULLong' in an xml format description file, and can be named as a personalized name such as 'ULLONG', 'UPLEFTLONGITUDE' in a txt format description file;
the data management server cluster directly extracts the metadata file from a compressed file or a directory corresponding to the data to be archived by acquiring a storage address of the data to be archived and stores the metadata file in a buffer area so as to acquire the metadata file from the buffer area;
step 102: matching the personalized attribute names with standard attribute names in a standard attribute database, and determining standard attribute names and attribute value acquisition modes corresponding to the personalized attribute names;
specifically, in the embodiment of the present invention, the standard attribute database includes a correspondence between standard attribute names and corresponding multiple personalized attribute names, and a corresponding attribute value obtaining manner; in an optional embodiment, the method for establishing the standard attribute database includes:
determining an attribute list of data to be filed and recorded, wherein each attribute name in the attribute list is a uniform standard attribute name; and establishing a corresponding relation between each standard attribute name and different personalized attribute names in the attribute list and an attribute value acquisition mode according to metadata information of the archived data to obtain a standard attribute database.
Specifically, in the embodiment of the present invention, the standard attribute database includes different types of metadata description files to implement correspondence between personalized attribute names and standard attribute names and to agree on an attribute value acquisition manner, for example, for an xml-type metadata description file, attributes of source data that need to be archived and recorded are listed one by one, and meanwhile, corresponding standard attribute names are marked out, and an acquisition manner of corresponding attribute values is recorded in an Xpath form; for a metadata description file in a txt form, not only the attributes required to be filed and recorded are listed one by one, and the corresponding standard attribute names are marked, but also information such as separators between the attribute names and the attribute values, split marks between the attributes, secondary progressive marks between the attributes representing the parent attributes and the child attributes, and marks of segment start marks and end marks of the attribute segments are required to be recorded, and the acquisition mode of the corresponding attribute values is also stored in a form similar to Xpath.
Searching personalized attribute names and corresponding attribute values for xml-form metadata files directly through Xpath, converting txt-form metadata files into xml-form files according to hierarchical progressive relation, and searching with reference to the xml-form metadata files until the personalized attribute names are found out;
step 103: acquiring attribute values corresponding to the individual attribute names from the metadata information according to the determined attribute value acquisition mode, and generating new metadata information of the data to be archived, wherein the new metadata information comprises the standard attribute names and the attribute values corresponding to the standard attribute names;
step 104: and according to the new metadata information, classified storage is carried out on the data to be archived.
For example, in a latitude and LONGITUDE of a coverage area of image data in a metadata file of a certain satellite data product, a description field of a LONGITUDE at the UPPER LEFT corner is "ULLong", an Xpath expression corresponding to the "ULLong" is "/product/imageinfo/corn/ULLong", an attribute value of the "ULLong" is "106.6374" obtained according to an Xpath value extraction rule, and a standard attribute name corresponding to the "ULLong" in a standard attribute database is "UPPER _ LEFT _ length", so that "UPPER _ LEFT _ length" in data to be archived is stored as "106.6374".
In the embodiment of the invention, the data can be directly stored in the standard attribute database during classified storage, and can also be separately classified and stored, which is not limited in the invention.
After the data is put in storage, a user can retrieve the data according to the metadata attribute and the spatial information attribute of the remote sensing data, the extraction operation aiming at the screened data can be divided into two forms, one is complete extraction of query result data, and the other is cutting of an image according to the spatial polygon range submitted by the user, so that local extraction of the data is realized.
According to the multi-source remote sensing data filing processing method provided by the embodiment of the invention, personalized attribute names marked with the same attribute in metadata files of different forms are unified into a consistent standard attribute name, an attribute value extraction mode is well defined, corresponding data information is stored in a classified mode according to the standard attribute name, after data is put in storage, relevant data can be searched according to the standard attribute name corresponding to the personalized attribute name when relevant query is carried out, the method is simple to operate, independent metadata attribute analysis is not required to be carried out according to the metadata file form, compatibility can be realized only by adding or updating the standard attribute database even if a remote sensing data type is newly added, and a corresponding analysis module is not required to be developed.
Further, the matching the personalized attribute name with a standard attribute name in a standard attribute database to determine a standard attribute name and an attribute value obtaining mode corresponding to each personalized attribute name includes:
102 a: judging the name of the data to be archived based on a data name judging regular formula so as to judge whether the data to be archived is effective format data;
specifically, according to the naming rule of the file names of the data of the same type, the corresponding regular expressions (name discrimination regular expressions) can be extracted from the archived data, and the extracted regular expressions can be recorded in the metadata description file; by establishing an effective format data regular expression list, judging whether the regular expression is effective format data according to the name of the archived data to be detected;
for example: the high score 3 satellite FSI sensor data file name discrimination regular expression is GF3_ [ a-Z ] {3} _ FSI _ { d {1,3} - \\ d {1} _ L _? (HHHV | VHVV) _ L \ d {1,11}. tar.gz, after GF3_ KMN _ FSI _123456_ E103.6_ N39.2_ L1A _ HHHV _ L20170203201.tar.gz, discriminated by regular expression, is considered valid data.
If yes, go to step 102 b: matching each personalized attribute name in the personalized attribute name list with a standard attribute name in a standard attribute database one by one, and determining the data to be archived as effective data when the number of the personalized names in the personalized attribute list is consistent with the number of the standard attribute names in the standard attribute database and the personalized attribute names correspond to the standard attribute names one by one; for example: some satellite data should include attributes such as a satellite name, a sensor number, shooting time, longitude and latitude coordinates of a shooting center point, and the like, and valid values (attribute values) of all the attributes can be obtained after searching according to an Xpath mode, and the data is considered to be valid data, otherwise, the data is considered to be invalid data.
If not, proceed to 102 b': the data to be archived is marked as unidentifiable data.
The unrecognizable data can be screened out firstly by the name discrimination regular expression, unnecessary processing work is avoided, and the filing efficiency is improved.
102 c: determining a standard attribute name and an attribute value acquisition mode corresponding to each personalized attribute name of the effective data;
further, after the classified storage of the data to be archived according to the new metadata information, the method further includes:
determining a data processing scheme corresponding to the data to be archived according to the standard attribute names corresponding to the data to be archived;
and adopting the determined data processing scheme to perform data processing on the data to be archived and storing the processed data.
For example: the metadata of a certain type of data products of the optical satellite does not contain parameters such as cloud coverage, and in order to facilitate retrieval and data extraction, special processing needs to be performed on the data during data archiving to obtain the cloud coverage. For another example, when wide satellite images are archived, data is cropped and stored according to a preset spatial range. Therefore, a targeted data processing scheme needs to be compiled for various types of data in the data archiving processing flow.
Referring to fig. 3, the present invention further provides a multi-source remote sensing data archiving and processing apparatus, including:
a multi-source remote sensing data archiving processing device comprises:
a numerical value extraction module 10, configured to extract metadata information of data to be archived, where the metadata information includes a personalized attribute name list and attribute values corresponding to the personalized attribute names;
the matching module 20 is configured to match the personalized attribute names with standard attribute names in a standard attribute database, and determine standard attribute names and attribute value obtaining manners corresponding to the personalized attribute names;
an updating module 30, configured to obtain, according to a determined attribute value obtaining manner, an attribute value corresponding to each personalized attribute name from the metadata information, and generate new metadata information of the data to be archived, where the new metadata information includes the standard attribute name and an attribute value corresponding to the standard attribute name;
and the data storage module 40 is configured to store the data to be archived in a classified manner according to the new metadata information.
In an optional embodiment, the matching module is configured to:
judging the name of the data to be archived based on a data name judging regular formula so as to judge whether the data to be archived is effective format data;
and if so, matching the personalized attribute names in the personalized attribute name list with standard attribute names in a standard attribute database one by one, and determining the standard attribute names and attribute value acquisition modes corresponding to the personalized attribute names when the number of the personalized names in the personalized attribute list is consistent with the number of the standard attribute names in the standard attribute database and the personalized attribute names correspond to the standard attribute names one by one.
In an optional embodiment, the system further comprises an exception data processing module, configured to:
if not, marking the data to be archived as unidentifiable data.
In an optional embodiment, the system further comprises a standard attribute database establishing module, configured to:
determining an attribute list of data to be filed and recorded, wherein each attribute name in the attribute list is a uniform standard attribute name;
and establishing a corresponding relation between each standard attribute name and different personalized attribute names in the attribute list according to metadata information of the archived data, and determining an acquisition mode of an attribute value corresponding to each standard attribute name to obtain a standard attribute database.
In an alternative embodiment, the metadata information is in xml format and/or txt format.
In an optional embodiment, the apparatus further comprises a data processing module, configured to:
determining a data processing scheme corresponding to the data to be archived according to the standard attribute names corresponding to the data to be archived;
and adopting the determined data processing scheme to perform data processing on the data to be archived and storing the processed data.
The device embodiments and the method embodiments of the present invention correspond to one another, and specific descriptions and effects refer to the method embodiments and are not described herein again.
The above description is only for the best mode of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present invention are included in the scope of the present invention.
Those skilled in the art will appreciate that the invention may be practiced without these specific details.
Claims (4)
1. A multi-source remote sensing data archiving and processing method is characterized by comprising the following steps:
extracting metadata information of data to be archived, wherein the metadata information comprises an individualized attribute name list and attribute values corresponding to the individualized attribute names;
matching the personalized attribute names with standard attribute names in a standard attribute database, and determining standard attribute names and attribute value acquisition modes corresponding to the personalized attribute names;
acquiring attribute values corresponding to the individual attribute names from the metadata information according to the determined attribute value acquisition mode, and generating new metadata information of the data to be archived, wherein the new metadata information comprises the standard attribute names and the attribute values corresponding to the standard attribute names;
according to the new metadata information, classified storage is carried out on the data to be archived;
the step of matching the personalized attribute names with standard attribute names in a standard attribute database to determine the standard attribute names and attribute value obtaining modes corresponding to the personalized attribute names comprises the following steps:
judging the name of the data to be archived based on a data name judging regular formula so as to judge whether the data to be archived is effective format data;
if so, matching each personalized attribute name in the personalized attribute name list with a standard attribute name in a standard attribute database one by one, and determining a standard attribute name and an attribute value acquisition mode corresponding to each personalized attribute name when the number of the personalized names in the personalized attribute list is consistent with the number of the standard attribute names in the standard attribute database and the personalized attribute names correspond to the standard attribute names one by one;
if not, marking the data to be archived as unidentifiable data;
determining an attribute list of data to be filed and recorded, wherein each attribute name in the attribute list is a uniform standard attribute name;
establishing a corresponding relation between each standard attribute name and different personalized attribute names in the attribute list according to metadata information of the archived data, and determining an acquisition mode of an attribute value corresponding to each standard attribute name to obtain a standard attribute database;
the metadata information is in an xml format and/or a txt format;
after the classified storage is performed on the data to be archived according to the new metadata information, the method further comprises the following steps:
determining a data processing scheme corresponding to the data to be archived according to the standard attribute names corresponding to the data to be archived;
and adopting the determined data processing scheme to perform data processing on the data to be archived and storing the processed data.
2. A multi-source remote sensing data archiving processing device is characterized by comprising:
the numerical value extraction module is used for extracting metadata information of data to be archived, and the metadata information comprises an individualized attribute name list and attribute values corresponding to the individualized attribute names;
the matching module is used for matching the personalized attribute names with standard attribute names in a standard attribute database and determining standard attribute names and attribute value acquisition modes corresponding to the personalized attribute names;
the updating module is used for acquiring the attribute value corresponding to each personalized attribute name from the metadata information according to the determined attribute value acquisition mode, and generating new metadata information of the data to be archived, wherein the new metadata information comprises the standard attribute name and the attribute value corresponding to the standard attribute name;
the data storage module is used for storing the data to be archived in a classified manner according to the new metadata information;
the matching module is configured to:
judging the name of the data to be archived based on a data name judging regular formula so as to judge whether the data to be archived is effective format data;
if so, matching each personalized attribute name in the personalized attribute name list with a standard attribute name in a standard attribute database one by one, and determining a standard attribute name and an attribute value acquisition mode corresponding to each personalized attribute name when the number of the personalized names in the personalized attribute list is consistent with the number of the standard attribute names in the standard attribute database and the personalized attribute names correspond to the standard attribute names one by one;
the multi-source remote sensing data archiving and processing device further comprises an abnormal data processing module, and is used for:
if not, marking the data to be archived as unidentifiable data;
the multi-source remote sensing data archiving and processing device further comprises a standard attribute database establishing module, which is used for:
determining an attribute list of data to be filed and recorded, wherein each attribute name in the attribute list is a uniform standard attribute name;
and establishing a corresponding relation between each standard attribute name and different personalized attribute names in the attribute list according to metadata information of the archived data, and determining an acquisition mode of an attribute value corresponding to each standard attribute name to obtain a standard attribute database.
3. The multi-source remote sensing data archiving processing device according to any one of claims 2, wherein the metadata information is in xml format and/or txt format.
4. The multi-source remote sensing data archiving processing device according to claim 3, further comprising a data processing module configured to:
determining a data processing scheme corresponding to the data to be archived according to the standard attribute names corresponding to the data to be archived;
and adopting the determined data processing scheme to perform data processing on the data to be archived and storing the processed data.
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