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...

Full description