Nonrigid registration of remote sensing images via sparse and dense feature matching-Reference-Cited by-同舟云学术

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Nonrigid registration of remote sensing images via sparse and dense feature matching

Published:2016-06-16 Issue:7 Volume:33 Page:1313
ISSN:1084-7529
Container-title:Journal of the Optical Society of America A
language:en
Short-container-title:J. Opt. Soc. Am. A

Author:

Chen Jun,Luo Linbo,Liu Chengyin,Yu Jin-Gang,Ma Jiayi

Funder

National Natural Science Foundation of China (NSFC)

China Postdoctoral Science Foundation

China Scholarship Council Foundation

China University of Geosciences-School of Automation Open Foundation

Publisher

The Optical Society

Subject

Computer Vision and Pattern Recognition,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Reference41 articles.

1. Image registration methods: a survey

2. ARRSI: Automatic Registration of Remote-Sensing Images

3. Spectral edge: gradient-preserving spectral mapping for image fusion

4. Robust Feature Matching for Remote Sensing Image Registration via Locally Linear Transforming

5. Infrared and visible image fusion via gradient transfer and total variation minimization

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1. Using Local, Contextual, and Deep Convolutional Neural Network Features in Image Registration;Proceedings of the 12th International Conference on Computer Modeling and Simulation;2020-06-22

2. A pixel-based color transfer system to recolor nighttime imagery;Mobile Multimedia/Image Processing, Security, and Applications 2019;2019-05-13

3. Registration for Optical Multimodal Remote Sensing Images Based on FAST Detection, Window Selection, and Histogram Specification;Remote Sensing;2018-04-24

4. A novel image registration approach via combining local features and geometric invariants;PLOS ONE;2018-01-02

5. Nonrigid synthetic aperture radar and optical image coregistration by combining local rigid transformations using a Kohonen network;Journal of the Optical Society of America A;2017-09-19

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