Application of SAM in General-Purpose Semantic Segmentation of Remote Sensing Images
Segment Anything Model (SAM) is a general model for processing image segmentation task newly released by Meta and it has generalization capabilities which is different from FCN,U-Net and other image segmentation models that can only process specific types of images. This paper briefly describes the main segmentation models and characteristics,proposes a general semantic segmenta-tion method for remote sensing images based on SAM,develops a software platform,and elaborates the design ideas of each functional module. Practice has shown that SAM has a good application effect on general-purpose image segmentation of remote sensing images. The research results have been widely used in the investigation and monitoring of natural resources and the extraction of crop planting structures.
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