Method and system for automatic processing of accessory results for multi-source remote sensing images

By generating a set of structured metadata objects and standardizing decimal places, standard scene numbers are automatically generated. Combined with spatial analysis and attribute assignment, the problems of inaccurate metadata parsing and chaotic naming of multi-source remote sensing images are solved, realizing standardized management and efficient querying of images.

CN122240873APending Publication Date: 2026-06-19湖南省自然资源调查所
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
湖南省自然资源调查所
Filing Date
2026-05-21
Publication Date
2026-06-19

AI Technical Summary

Technical Problem

Traditional methods for processing multi-source remote sensing images suffer from problems such as inaccurate metadata parsing, chaotic image naming, inconsistent coordinate decimal places, and difficulties in image segmentation management, resulting in low image management efficiency and compatibility issues.

Method used

By parsing the metadata of multi-source remote sensing images, a set of structured metadata objects is generated, standard scene numbers are automatically generated, and decimal places are standardized. Combined with spatial analysis and attribute assignment of mosaic images, folders are automatically organized to achieve standardized and regulated image management.

Benefits of technology

It has achieved standardized and unified identification of multi-source remote sensing images, eliminated naming confusion, ensured the consistency of coordinate data format and accuracy, met the needs of image segmentation management and query, and improved the usability and professionalism of image delivery.

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Abstract

This invention relates to the field of image processing technology, specifically to an automated processing method and system for ancillary results of multi-source remote sensing imagery. The method includes: parsing and extracting core parameters such as side viewpoint, temporal phase, and data source type for each remote sensing image from the original metadata file set, generating a set of structured metadata objects; generating a set of standard scene numbers based on the data source type, track number, and image acquisition time information in the structured metadata object set; and batch-producing the full-scene image metadata files, projection information files, and coordinate information files for each remote sensing image based on the completed full-scene image set, standard scene number set, and structured metadata object set, thus obtaining an initial set of ancillary results. This invention, by parsing and extracting core parameters and generating a set of structured metadata objects, provides a unified, accurate, and machine-readable data source for all subsequent automated steps, eliminating production errors caused by misunderstandings of metadata at the source.
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