Multitask learning for unsupervised domain adaptive semantic segmentation of remote sensing images

WANG Yu; FENG Yuting; GONG Sishi; MAO Yanqin; LI Shengwen; FANG Fang; ZHOU Shunping

doi:10.11834/jrs.20254411

Remote Sensing Intelligent Interpretation | Views:649Downloads:452CSCD:0

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Multitask learning for unsupervised domain adaptive semantic segmentation of remote sensing images
“Remote sensing image semantic segmentation plays an important role in land cover and use classification, urban planning, and change detection. As a highly promising unsupervised learning method, domain adaptation technology has greatly promoted the development of semantic segmentation in remote sensing images. However, existing models are still based on single task learning, and the segmentation features obtained from learning are not sufficient, resulting in difficulty in accurately identifying complex regions in remote sensing images during the segmentation process. To address this issue, experts have proposed a multi task learning domain adaptive semantic segmentation network MTLDANet, which enhances the learning ability of segmentation features by synergistically learning semantic and elevation information in remote sensing images.”
- role：First author第一作者
- Affiliation：
  School of Computer Science, China University of Geosciences (Wuhan), Wuhan 430078, China
- Email：1202321619@cug.edu.cn
- Introduction：王渝，研究方向为遥感图像的语义分割。E-mail：1202321619@cug.edu.cn
WANG Yu
1 * ,
- Affiliation：
  School of Computer Science, China University of Geosciences (Wuhan), Wuhan 430078, China
FENG Yuting
1 * ,
- Affiliation：
  School of Computer Science, China University of Geosciences (Wuhan), Wuhan 430078, China
GONG Sishi
1 * ,
- Affiliation：
  School of Surveying, Mapping and Information Engineering, West Yunnan University of Applied Sciences, Dali 671006, China
MAO Yanqin
2 * ,
- Affiliation：
  School of Computer Science, China University of Geosciences (Wuhan), Wuhan 430078, China
  Hubei Provincial Key Laboratory of Intelligent Geological Information Processing, Wuhan 430074, China
LI Shengwen
13 * ,
- Affiliation：
  School of Computer Science, China University of Geosciences (Wuhan), Wuhan 430078, China
  Hubei Provincial Key Laboratory of Intelligent Geological Information Processing, Wuhan 430074, China
FANG Fang
13 * ,
- role：Corresponding author通信作者
- Affiliation：
  School of Computer Science, China University of Geosciences (Wuhan), Wuhan 430078, China
  Hubei Provincial Key Laboratory of Intelligent Geological Information Processing, Wuhan 430074, China
- Email：zhoushunping@mapgis.com
- Introduction：周顺平，研究方向为空间数据库技术、地理空间人工智能和计算机视觉。E-mail： zhoushunping@mapgis.com
ZHOU Shunping
13 *
Vol. 30, Issue 2, Pages: 325-346(2026)
DOI：10.11834/jrs.20254411
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Multitask learning for unsupervised domain adaptive semantic segmentation of remote sensing images

WANG Yu

FENG Yuting

GONG Sishi

MAO Yanqin

LI Shengwen

FANG Fang

ZHOU Shunping

DOI：10.11834/jrs.20254411

AI Introduction

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Figs( 21 ) Tabs( 11 )

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