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: In recent years, there has been a growing demand for remote sensing image semantic segmentation in various applications. The key to semantic segmentation lies in the ability to globally ...
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 ...
We propose an encoder-decoder for open-vocabulary semantic segmentation comprising a hierarchical encoder-based cost map generation and a gradual fusion decoder. We introduce a category early ...
Various floating objects, such as vegetation or litter, can be observed at the surface of water bodies across the globe using remote sensing data (Mifdal et al., 2021; Park et al., 2023). The nature ...
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