Spatial‐spectral classification of hyperspectral images: a deep learning framework with Markov Random fields based modelling-Reference-Cited by-同舟云学术

Spatial‐spectral classification of hyperspectral images: a deep learning framework with Markov Random fields based modelling

Published:2019-02 Issue:2 Volume:13 Page:235-245
ISSN:1751-9667
Container-title:IET Image Processing
language:en
Short-container-title:IET Image Processing

Author:

Qing Chunmei¹,Ruan Jiawei¹,Xu Xiangmin¹,Ren Jinchang²,Zabalza Jaime²

Affiliation:

1. School of Electronic and Information Engineering, South China University of TechnologyGuangzhouPeople's Republic of China

2. Department of Electronic and Electrical EngineeringUniversity of StrathclydeGlasgowUK

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

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

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-ipr.2018.5727

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5. 2013 IEEE Int. Conf. on Biomedical Engineering and Informatics B. Fei H. Akbari L.V. Halig Hyperspectral imaging and spectral‐spatial classification for cancer detection 62 64

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