Remote sensing satellite data processing method and system

Abstract

The invention provides a remote sensing satellite data processing method and system, wherein the method includes: performing cataloging processing and image feature extraction according to 0-level data files, wherein the cataloging processing is used to generate cataloging metadata files and catalog browsing of remote sensing satellite data Image file, image feature extraction By performing image feature extraction including color and texture on the sampled image data file of the 0-level data file, the image feature information of the 0-level data file is generated; cataloging metadata files, cataloging browsing map files and images The feature information is associated and saved to the database; the remote sensing satellite data retrieval combined with the text attribute and the content attribute is carried out in the database. The invention can simultaneously complete the retrieval of satellite data text attributes and content attributes, improve retrieval accuracy, make up for the defect of using text attributes for data management only in remote sensing satellite data management, and increase the retrieval and management of satellite data. Methods.

Description

technical field [0001] The invention relates to the technical field of remote sensing satellite data management, and more specifically, to a remote sensing satellite data processing method and system. Background technique [0002] After the downlink satellite remote sensing data of remote sensing satellites are received and recorded by the receiving system, the received and recorded remote sensing satellite data need to be decompressed and deformatted to generate level 0 data files, so as to be saved to disk or tape and other media to archive. In order to facilitate the retrieval and acquisition of remote sensing satellite data, it is necessary to catalog the 0-level data files before archiving, generate metadata information of remote sensing satellites, and input the metadata information into the relational database. These metadata information include: imaging time, sensors, cloud cover information, spatial range geographic information, row and column numbers, etc. In thi...

AI Technical Summary

Problems solved by technology

[0005] 1. The search method is single and useless to make full use of the content of the remote sensing satellite image data itself;

[0006] 2. For information such as color and texture, it cannot be queried based on text attributes;

[0007] 3. The system has high requirements for users, who need to know the sensor type, ground grid, image acquisition time and other information

However, in the management of remote sensing satellite data, image data has its specific organization, management and acquisition methods. Obviously, single-use content retrieval cannot meet the needs of some specific applications.

Images