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Joint sparse-collaborative representation to fuse hyperspectral and multispectral images

  • Published:2020-08 Issue: Volume:173 Page:107585
  • ISSN:0165-1684
  • Container-title:Signal Processing
  • language:en
  • Short-container-title:Signal Processing

Author:

Xing ChangdaORCID,Wang Meiling,Dong Chong,Duan Chaowei,Wang Zhisheng

Funder

National Natural Science Foundation of China

Aeronautical Science Foundation of China

Nanjing University of Aeronautics and Astronautics

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software,Control and Systems Engineering

Reference43 articles.

1. Object tracking by hierarchical decomposition of hyperspectral video sequences: application to chemical gas plume tracking;Tochon;IEEE Trans. Geosci. Remote Sens.,2017

2. Hyperspectral image super-resolution via non-local sparse tensor factorization;Dian,2017

3. St-irgs: a region-based self-training algorithm applied to hyperspectral image classification and segmentation;Fan;IEEE Trans. Geosci. Remote Sens.,2018

4. Hybrid unmixing based on adaptive region segmentation for hyperspectral imagery;Zhang;IEEE Trans. Geosci. Remote Sens.,2018

5. Spectralspatial hyperspectral image classification via multiscale adaptive sparse representation;Fang;IEEE Trans. Geosci. Remote Sens.,2014

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