Remote sensing satellite data processing method and system

Abstract

The invention provides a remote sensing satellite data processing method and system. The method includes the steps that catalogue processing and image feature extraction are carried out according to 0-level files, wherein catalogue processing is used for generating catalogue metadata files and catalogue browse diagram files of remote sensing satellite data, and image feature extraction is used for generating image feature information of the 0-level files by carrying out color and texture image feature extraction on sampling image data files of the 0-level files; the catalogue metadata files, the catalogue browse diagram files and the image feature information are linked and stored in a database; remote sensing satellite data retrieval combining text attributes and content attributes is carried out in the database. By means of the method and system, retrieval of the text attributes and retrieval of the content attributes of satellite data can be finished at the same time, retrieval precision is improved, the defect that only the text attributes in remote sensing satellite data management are used for data management is overcome, and a satellite data retrieval and management method is increased.

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