RST-Net: A Semantic Segmentation Network for Remote Sensing Images Based on a Dual-Branch Encoder Structure

High-resolution remote sensing images often suffer from inadequate fusion between global and local features, leading to the loss of long-range dependencies and blurred spatial details, while also exhibiting limited adaptability to multi-scale object segmentation. To overcome these limitations, this...

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Bibliographic Details

Published in:	Sensors
Main Authors:	Na Yang, Chuanzhao Tian, Xingfa Gu, Yanting Zhang, Xuewen Li, Feng Zhang
Format:	Article
Language:	English
Published:	MDPI AG 2025-09-01
Subjects:	dual-branch encoder structure remote sensing images semantic segmentation multi-scale feature fusion
Online Access:	https://www.mdpi.com/1424-8220/25/17/5531