Models and Methods | Views:939Downloads:2534CSCD:0
Export
Collection
Album
Research on semantic segmentation algorithm for remote sensing images based on image decomposition to remove entanglement and edge guidance
- “In the field of semantic segmentation of remote sensing images, experts have proposed a segmentation model based on disentanglement, which effectively improves segmentation performance and provides a new solution for solving the problem of spectral confusion of ground objects.”
- Vol. 29, Issue 11, Pages: 3347-3362(2025)
DOI:10.11834/jrs.20254525
Quote
Translate The Full Text
Scan QR Code
AI Introduction
Full Text(HTML)
Figs( 29 ) Tabs( 3 )
References
Publication Info
Metrics
Alert me when the article has been cited
Submit
Related Articles
Related Author
Li Keke 中国石油大学(北京) 人工智能学院
Lian Yuanfeng 中国石油大学(北京) 人工智能学院;中国石油大学(北京) 石油数据挖掘北京市重点实验室
KU Minfan 湖北大学 资源环境学院
ZHANG Liang 湖北大学 资源环境学院;天津市轨道交通导航定位及时空大数据技术重点实验室;中国铁路设计集团有限公司
DENG Jiwei 天津市轨道交通导航定位及时空大数据技术重点实验室;中国铁路设计集团有限公司
WANG Guangshuai 天津市轨道交通导航定位及时空大数据技术重点实验室;中国铁路设计集团有限公司
WANG Xinwen 湖北大学 资源环境学院
LIU Hengzhi 湖北大学 资源环境学院
Related Institution
Faculty of Resources and Environmental Science, Hubei University
Tianjin Key Laboratory of Rail Transit Navigation Positioning and Spatio-temporal Big Data Technology
China Railway Design Group Limited
School of Computer Science and Software Engineering, Southwest Petroleum University
Center of Hyperspectral Imaging in Remote Sensing of Dalian Maritime University


