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Fast robust fuzzy clustering based on bipartite graph for hyper‐spectral image classification

  • Published:2022-07-18 Issue:13 Volume:16 Page:3634-3647
  • ISSN:1751-9659
  • Container-title:IET Image Processing
  • language:en
  • Short-container-title:IET Image Processing

Author:

Liu Han1ORCID,Wu Chengmao2,Li Changxing3,Zuo Yanqun2

Affiliation:

1. School of Communication and Information Engineering Xi'an University of Posts and Telecommunications Xi'an China

2. School of Electronic Engineering Xi'an University of Posts and Telecommunications Xi'an China

3. School of Science Xi'an University of Posts and Telecommunications Xi'an China

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

Reference46 articles.

1. Retrieval of chlorophyll‐a concentration by Three‐band model in Lake Chaohu;Yang Y.;Lake Sci.,2010

2. Review of hyperspectral remote sensing image classification;Du P.J.;J. Remote Sens.,2016

3. DISC: Deep Image Saliency Computing via Progressive Representation Learning

4. A Validity Index for Prototype-Based Clustering of Data Sets With Complex Cluster Structures

5. Fine-Grained Image Captioning With Global-Local Discriminative Objective

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