DDF: A Novel Dual-Domain Image Fusion Strategy for Remote Sensing Image Semantic Segmentation With Unsupervised Domain Adaptation

被引：0
|
作者：
Ran, Lingyan [1 ]
Wang, Lushuang [1 ]
Zhuo, Tao [2 ]
Xing, Yinghui [1 ]
Zhang, Yanning [1 ]
机构：
[1] Northwestern Polytechnical University, Shaanxi Provincial Key Laboratory of Speech and Image Information Processing, The Natl. Eng. Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, School of Computer Science, Xi'an,710072,
[2] Northwest A&f University, College of Information Engineering, Yangling, Xianyang,712100, China
来源：
IEEE Transactions on Geoscience and Remote Sensing | 2024年 / 62卷
关键词：
This work was supported in part by the Natural Science Basic Research Program of Shaanxi under Grant 2024JC-YBQN-0719; the Key R & D Program of Shaanxi under Grant 2023-YBGY-012; the Natural Science Foundation of NingBo under Grant 2023J262; the Shandong Excellent Young Scientists Fund Program (Overseas) 2023HWYQ-114. (Corresponding author: Tao Zhuo.) Lingyan Ran; Lushuang Wang; Yinghui Xing; and Yanning Zhang are with the Shaanxi Provincial Key Laboratory of Speech and Image Information Processing; and the National Engineering Laboratory for Integrated Aerospace-GroundOcean Big Data Application Technology; School of Computer Science; Northwestern Polytechnical University; Xiu2019an; 710072; China. Tao Zhuo is in the College of Information Engineering; Northwest A&F University; Yangling; 712100; China. Houjun He is in the Information Center of YRCC; Zhengzhou; 450003; China. Manuscript received April 19; 2021; revised August 16; 2021.This work was supported in part by the National Natural Science Foundation of China under Grant 62476226; in part by the Natural Science Basic Research Program of Shaanxi Program under Grant 2024JC-YBQN-0719 and Grant 2023-YBGY-012; in part by the Natural Science Foundation of NingBo under Grant 2023J262; and in part by the Shandong Excellent Young Scientists Fund Program (Overseas) under Grant 2023HWYQ-114;
D O I：
10.1109/TGRS.2024.3433564
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