Mosaic method for large-scale ground-distance satellite-borne SAR images

Abstract

The invention provides a large-scale ground-distance satellite-borne SAR image mosaic method, which relates to the field of satellite SAR (Synthetic Aperture Radar) image mosaic. The original image is firstly subjected to necessary preprocessing, and then the preprocessed image is extracted with geographic location information to The location information is used as prior knowledge to correct the cross-correlation of the image to obtain the mosaic error information, and use the mosaic error information to compensate the image mosaic error; after the mosaic error compensation, the Wallis filter is used to search for the updated SAR image. The method is used for uniform color processing, and the mosaiced image is finally generated; the present invention provides an optional solution for the determination of the matching offset by adapting the cross-correlation method according to different terrains or the binary matching statistics method based on the zero-crossing point; providing A search and update strategy, which guarantees the effect of uniform color processing in multiple overlapping areas and directions, and can well protect the texture details in the image.

Description

technical field [0001] The invention relates to the field of satellite SAR (Synthetic Aperture Radar) image mosaic, in particular to a large-scale ground-distance spaceborne SAR image mosaic method. Background technique [0002] Spaceborne synthetic aperture radar (SAR) has become an important tool in the field of surveying and mapping and earth science research because of its large area and all-weather and day-night imaging capabilities. Mosaicing of multiple SAR images from the same and adjacent imaging tracks is particularly useful for monitoring and analyzing the spatial and temporal variation of global processes. Spaceborne SAR mosaic products can be widely used in land use, land cover change, mapping, coastline, desertification, wetland and glacier monitoring and other fields. The key to the mosaic of ground-to-spaceborne SAR is to eliminate the geometric structure dislocation and radiation difference between the mosaic images, and it is not limited by the large-capac...

AI Technical Summary

Problems solved by technology

These methods usually need to register overlapping image data using visually positioned homonymous points or visual features extracted by some algorithm, and the entire mosaic process is laborious and time-consuming; It can only realize the gradual transition of overlapping areas in one direction, and it is difficult to eliminate the problem of chromatic aberration caused by overlapping areas in multiple directions; in addition, some methods require higher memory capacity of the computer

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