An interval Type-2 fuzzy sets generation method for remote sensing imagery classification-Reference-Cited by-同舟云学术

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An interval Type-2 fuzzy sets generation method for remote sensing imagery classification

Published:2019-12 Issue: Volume:133 Page:104287
ISSN:0098-3004
Container-title:Computers & Geosciences
language:en
Short-container-title:Computers & Geosciences

Author:

Xing Haihua,He Hui,Hu Dan,Jiang Tao,Yu Xianchuan

Funder

National Natural Science Foundation of China

Hainan Provincial Natural Science Foundation of China

National Natural Science Foundation of Beijing

Major Scientific Research Projects in Universities of Guangdong Province

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Information Systems

Reference26 articles.

1. A modified fuzzy c-means algorithm for bias field estimation and segmentation of MRI data;Ahmed;IEEE Trans. Med. Imaging,2002

2. A Multilevel context-based system for classification of very high spatial resolution images;Bruzzone;IEEE Trans. Geosci. Remote Sens.,2006

3. Fast and robust fuzzy c-means clustering algorithms incorporating local information for image segmentation;Cai;Pattern Recognit.,2007

4. Interval type-2 fuzzy membership function generation methods for pattern recognition;Choi;Inf. Sci.,2009

5. Systematic image processing for diagnosing brain tumors: a Type-II fuzzy expert system approach;Fazel Zarandi;Appl. Soft Comput.,2011

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