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Efficient Instance Segmentation Paradigm for Interpreting SAR and Optical Images
2022
Remote Sensing
Instance segmentation in remote sensing images is challenging due to the object-level discrimination and pixel-level segmentation for the objects. In remote sensing applications, instance segmentation adopts the instance-aware mask, rather than horizontal bounding box and oriented bounding box in object detection, or category-aware mask in semantic segmentation, to interpret the objects with the boundaries. Despite these distinct advantages, versatile instance segmentation methods are still to
doi:10.3390/rs14030531
fatcat:dmv7bopdqbg3td3dwo2xroyv4u