Abstract: In recent years, the semantic segmentation of multimodal remote-sensing images using convolutional methods has received significant attention. Owing to the localized nature of convolutional ...
Abstract: Haze obscures remote sensing images, hindering valuable information extraction. To this end, we propose RSHazeNet, an encoder-minimal and decoder-minimal framework for efficient remote ...
Abstract: Building footprint extraction is a fundamental task in remote sensing image analysis, with wide-ranging applications in smart city development, urban planning, and disaster response. Despite ...
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