Hyperspectral image super-resolution combining with deep learning and spectral unmixing-Reference-Cited by-同舟云学术

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Hyperspectral image super-resolution combining with deep learning and spectral unmixing

Published:2020-05 Issue: Volume:84 Page:115833
ISSN:0923-5965
Container-title:Signal Processing: Image Communication
language:en
Short-container-title:Signal Processing: Image Communication

Author:

Zou Changzhong,Huang Xusheng

Funder

National Natural Science Foundation of China

Natural Science Foundation of Fujian Province, China

Fujian Provincial Department of Education Fund, China

Publisher

Elsevier BV

Subject

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

Reference54 articles.

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2. Omer Ozdil, Yunus Emre Esin, Berkan Demirel, Safak Ozturk, Representative signature generation for plant detection in hyperspectral images, in: IEEE International Geoscience and Remote Sensing Symposium, 2018, pp. 2709–2712.

3. Yilong Liang, Panos P. Markopoulos, Eli S. Saber, Subpixel target detection in hyperspectral images with local matched filtering in SLIC superpixels, in: 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS, 2016, pp. 1–5.

4. Junshu Wang, Nan Jiang, Guoming Zhang, Bin Hu, Yang Li, Automatic framework for semi-supervised hyperspectral image classification using self-training with data editing, in: 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS, 2015 pp. 1–4.

5. Hyperspectral image reconstruction by deep convolutional neural network for classification;Li;Pattern Recognit.,2017

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