IEEE

Learning Remote Sensing Aleatoric Uncertainty for Semi-Supervised Change Detection

Abstract: Significant progress has been recently achieved in the field of remote sensing image (RSI) change detection based on data-driven deep learning. Fully supervised models have limitations on ...
IEEE

Adaptive Self-Supporting Prototype Learning for Remote Sensing Few-Shot Semantic Segmentation

Abstract: The semantic segmentation of remote sensing images with few shots has important theoretical and application value. Most of the existing few-shot semantic segmentation frameworks are based on ...