A Novel Rotation and Scale Equivariant Network for Optical-SAR Image Matching-Reference-Cited by-同舟云学术

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A Novel Rotation and Scale Equivariant Network for Optical-SAR Image Matching

Published:2024 Issue: Volume:62 Page:1-14
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Nie Han¹^ORCID,Luo Bin¹^ORCID,Liu Jun¹^ORCID,Fu Zhitao²^ORCID,Liu Weixing¹^ORCID,Wang Chenjie³^ORCID,Su Xin⁴^ORCID

Affiliation:

1. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China

2. Faculty of Land Resources Engineering, Kunming University of Science and Technology, Kunming, China

3. Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, China

4. School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China

Funder

National Natural Science Foundation of China

Yunnan Fundamental Research Projects

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/36/10354519/10662912.pdf?arnumber=10662912

Reference33 articles.

1. Reciprocal transformer for hyperspectral and multispectral image fusion

2. Remote Sensing Image Change Detection With Transformers

3. Robust Registration of Multimodal Remote Sensing Images Based on Structural Similarity

4. RIFT: Multi-modal image matching based on radiation-invariant feature transform;Li;arXiv:1804.09493,2018

5. LNIFT: Locally Normalized Image for Rotation Invariant Multimodal Feature Matching

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