BaAFN: A Boundary-Aware Attention Fusion Network for Remote Sensing Semantic Segmentation
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2025.3594044
Abstract: The performance of remote sensing semantic segmentation on object boundaries and small objects continues to pose a significant challenge due to the semantics near them being complex and ambiguous. In this work, we propose the… read more here.
Keywords: segmentation; remote sensing; sensing semantic; attention fusion ... See more keywords
CT-PromptSAM: Collaborative Prompting With Hybrid CNN–Transformer for Remote Sensing Semantic Segmentation
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2025.3612187
Abstract: Remote sensing (RS) semantic segmentation (SS) faces critical challenges in small-object detection and boundary precision due to scale variation and complex scenes. This letter proposes CT-PromptSAM, a specialist–generalist framework integrating a CNN–Transformer specialist network and… read more here.
Keywords: remote sensing; sensing semantic; semantic segmentation; cnn transformer ... See more keywords
Joint Style and Layout Synthesizing: Toward Generalizable Remote Sensing Semantic Segmentation
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2024.3522936
Abstract: This paper studies the domain generalized remote sensing semantic segmentation (RSSS), aiming to generalize a model trained only on the source domain to unseen domains. Existing methods in computer vision treat style information as domain… read more here.
Keywords: style; joint style; remote sensing; sensing semantic ... See more keywords
SegCLIP: Multimodal Visual-Language and Prompt Learning for High-Resolution Remote Sensing Semantic Segmentation
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2024.3487576
Abstract: Remote sensing semantic segmentation is considered a key step in the intelligent interpretation of high-resolution remote sensing (HRRS) images, with widespread applications in fields such as hazard assessment, environmental monitoring, and urban planning. Recently, numerous… read more here.
Keywords: remote sensing; language; sensing semantic; semantic segmentation ... See more keywords