Single Domain Generalization Method for Remote Sensing Image Segmentation via Category Consistency on Domain Randomization-Reference-Cited by-同舟云学术

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Single Domain Generalization Method for Remote Sensing Image Segmentation via Category Consistency on Domain Randomization

Published:2024 Issue: Volume:62 Page:1-16
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Liang Chenbin¹^ORCID,Li Weibin¹^ORCID,Dong Yunyun²^ORCID,Fu Wenlin¹

Affiliation:

1. Hangzhou Institute of Technology, Xidian University, Hangzhou, China

2. Northwest Land and Resources Research Center, Shaanxi Normal University, Xi’an, China

Funder

China Postdoctoral Science Foundation

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/36/10354519/10476506.pdf?arnumber=10476506

Reference65 articles.

1. SCAttNet: Semantic Segmentation Network With Spatial and Channel Attention Mechanism for High-Resolution Remote Sensing Images

2. Contextual Transformation Network for Lightweight Remote Sensing Image Super-Resolution

3. LANet: Local Attention Embedding to Improve the Semantic Segmentation of Remote Sensing Images

4. Multireceptive field: An adaptive path aggregation graph neural framework for hyperspectral image classification

5. Multi-scale receptive fields: Graph attention neural network for hyperspectral image classification

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