Super-resolution of hyperspectral image via superpixel-based sparse representation-Reference-Cited by-同舟云学术

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Super-resolution of hyperspectral image via superpixel-based sparse representation

Published:2018-01 Issue: Volume:273 Page:171-177
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Fang Leyuan^ORCID,Zhuo Haijie,Li Shutao^ORCID

Funder

National Natural Science Fund of China for Distinguished Young Scholars under Grant

National Natural Science Fund of China for International Cooperation and Exchanges under Grant

National Natural Science Foundation for Young Scientist of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference34 articles.

1. Spectral-spatial hyperspectral image classification via multiscale adaptive sparse representation;Fang;IEEE Trans. Geosci. Remote Sens.,2014

2. Sample-screening MKL method via boosting strategy for hyperspectral image classification;Gu;Neurocomputing,2016

3. Collaborative representation for hyperspectral anomaly detection;Li;IEEE Trans. Geosci. Remote Sens,2015

4. Hyperspectral target detection via exploiting spatial-spectral joint sparsity;Gu;Neurocomputing,2015

5. Tracking via object reflectance using a hyperspectral video camera;Nguyen,2010

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