Enhanced remote sensing image feature classification using STFF-PSPNet

Abstract Semantic segmentation of remotely sensed images is crucial for urban planning and change detection, yet faces issues like sample imbalance and low data quality. This study compiles a GF-2 image dataset and refines the PSPNet model. Weights of different class samples were adjusted to priorit...

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Bibliographic Details

Published in:	Scientific Reports
Main Authors:	Haiying Li, Jiaqi Gao, Yang Liu, Chenxi Huang, Lijun Li, Liqiang Zhang
Format:	Article
Language:	English
Published:	Nature Portfolio 2025-07-01
Subjects:	Classification of Land Types Remote Sensing Image Attention Mechanism Combined Loss Function Improved PSPNet STFF
Online Access:	https://doi.org/10.1038/s41598-025-89094-x