Optical-to-SAR Image Matching Using Multiscale Masked Structure Features-Reference-Cited by-同舟云学术

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Optical-to-SAR Image Matching Using Multiscale Masked Structure Features

Published:2022 Issue: Volume:19 Page:1-5
ISSN:1545-598X
Container-title:IEEE Geoscience and Remote Sensing Letters
language:
Short-container-title:IEEE Geosci. Remote Sensing Lett.

Author:

Ye Yuanxin¹^ORCID,Yang Chao¹,Zhang Jiacheng¹,Fan Jianwei²^ORCID,Feng Ruitao³,Qin Yao⁴^ORCID

Affiliation:

1. Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, China

2. School of Computer and Information Technology, Xinyang Normal University, Xinyang, China

3. School of Geography and Tourism, Shaanxi Normal University, Xi’an, China

4. Northwestern Institute of Nuclear Technology, Xi’an, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology

Link

http://xplorestaging.ieee.org/ielx7/8859/9651998/09765440.pdf?arnumber=9765440

Reference17 articles.

1. Robust registration of aerial images and LiDAR data using spatial constraints and Gabor structural features

2. Robust Optical-to-SAR Image Matching Based on Shape Properties

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

4. SAR and Optical Image Registration Using Nonlinear Diffusion and Phase Congruency Structural Descriptor

5. Fast and Robust Matching for Multimodal Remote Sensing Image Registration

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