Difference-Complementary Learning and Label Reassignment for Multimodal Semi-Supervised Semantic Segmentation of Remote Sensing Images

• Published in: IEEE transactions on image processing Vol. 34; pp. 566 - 580
• Main Authors: Han, Wenqi, Jiang, Wen, Geng, Jie, Miao, Wang
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.01.2025; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Accuracy; Adaptive optics; Datasets; Image segmentation; Labels; Land cover; multimodal fusion; Optical imaging; Optical sensors; Optimization; Pixels; Radar imaging; Radar polarimetry; Remote sensing; Semantic segmentation; Semantics; Semi-supervised learning; Sensors; Synthetic aperture radar

The feature fusion of optical and Synthetic Aperture Radar (SAR) images is widely used for semantic segmentation of multimodal remote sensing images. It leverages information from two different sensors to enhance the analytical capabilities of land cover. However, the imaging characteristics of opti...