Analysis of feasibility and advantages of multi‐source image registration using regional features-Reference-Cited by-同舟云学术

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Analysis of feasibility and advantages of multi‐source image registration using regional features

Published:2021-02-23 Issue:7 Volume:57 Page:285-287
ISSN:0013-5194
Container-title:Electronics Letters
language:en
Short-container-title:Electron. lett.

Author:

Zeng Liang¹^ORCID,Lu Danwei¹,Zhu Qingtao¹,Xing Cheng¹^ORCID,Yin Junjun²^ORCID,Yang Jian¹

Affiliation:

1. Department of Electronic Engineering Tsinghua University Beijing China

2. School of Computer and Communication Engineering University of Science and Technology Beijing China

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/ell2.12119

Reference13 articles.

1. OS-SIFT: A Robust SIFT-Like Algorithm for High-Resolution Optical-to-SAR Image Registration in Suburban Areas

2. SAR Image Registration Using an Improved SAR-SIFT Algorithm and Delaunay-Triangulation-Based Local Matching

3. Structure tensor‐based SIFT algorithm for SAR image registration

4. Registration of Multimodal Remote Sensing Image Based on Deep Fully Convolutional Neural Network

5. A Novel Attention Fully Convolutional Network Method for Synthetic Aperture Radar Image Segmentation

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Image matching via progressive priors;Electronics Letters;2022-08-06

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