GA-SURF: A new Speeded-Up robust feature extraction algorithm for multispectral images based on geometric algebra-Reference-Cited by-同舟云学术

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GA-SURF: A new Speeded-Up robust feature extraction algorithm for multispectral images based on geometric algebra

Published:2019-11 Issue: Volume:127 Page:11-17
ISSN:0167-8655
Container-title:Pattern Recognition Letters
language:en
Short-container-title:Pattern Recognition Letters

Author:

Wang Rui^ORCID,Shi Yijie,Cao Wenming

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference26 articles.

1. Multi-modal and multi-spectral registration for natural images;Shen,2014

2. Multispectral images denoising by intrinsic tensor sparsity regularization;Xie,2016

3. Spectral-spatial classification of multispectral images using kernel feature space representation;Bernab;IEEE Geosci. Remote Sens. Lett.,2014

4. Contrast and error-based fusion schemes for multispectral image pansharpening;Vivone,2014

5. Multispectral palm image fusion for accurate contact-free palmprint recognition;Hao,2008

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