Efficient Feature Relation Learning Network for Cross-Spectral Image Patch Matching-Reference-Cited by-同舟云学术

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Efficient Feature Relation Learning Network for Cross-Spectral Image Patch Matching

Published:2023 Issue: Volume:61 Page:1-17
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Yu Chuang¹^ORCID,Zhao Jinmiao¹^ORCID,Liu Yunpeng²^ORCID,Wu Shuhang²,Li Chenxi²^ORCID

Affiliation:

1. Key Laboratory of Opto-Electronic Information Processing, Shenyang Institute of Automation, and the Institute for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, China

2. Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China

Funder

Innovation Project of Equipment Development Department, Information Perception Technology

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/10006360/10164118.pdf?arnumber=10164118

Reference48 articles.

1. Distinctive Image Features from Scale-Invariant Keypoints

2. Working hard to know your neighbor’s margins: Local descriptor learning loss;mishchuk;arXiv 1705 10872,2017

3. Alignment by maximization of mutual information

4. PN-Net: Conjoined triple deep network for learning local image descriptors;balntas;arXiv 1601 05030,2016

5. Histograms of Oriented Gradients for Human Detection

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