Stereo Image Dense Matching Based on SGM Constrained by Feature Matching-Reference-Cited by-同舟云学术

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Stereo Image Dense Matching Based on SGM Constrained by Feature Matching

Published:2023-12-08 Issue: Volume: Page:1911-1915
ISSN:
Container-title:2023 9th International Conference on Computer and Communications (ICCC)
language:
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Author:

Ma Tao¹,Zhu Hangbiao¹,Huang Weijian¹,An Pei²,Wang Chun¹,Yu Kun³

Affiliation:

1. Institute of Computer Application China Academy of Engineering Physics,Mianyang,China

2. School of Electrical and Information Engineering Wuhan Institute of Technology,Wuhan,China

3. National Key Laboratory of Science and Technology on Electromagnetic Energy Naval University of Engineering,Wuhan,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10507208/10507251/10507454.pdf?arnumber=10507454

Reference18 articles.

1. Multispectral Remote Sensing Image Matching via Image Transfer by Regularized Conditional Generative Adversarial Networks and Local Feature

2. A critical analysis of satellite stereo pairs for digital surface model generation and a matching quality prediction model

3. Multi-image matching for DSM generation from IKONOS imagery

4. A Survey on Deep Learning Techniques for Stereo-based Depth Estimation

5. A compact algorithm for rectification of stereo pairs

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