Remote sensing image classification based on semi-supervised adaptive interval type-2 fuzzy c-means algorithm

Author:

Xu Jindong,Feng Guozheng,Zhao Tianyu,Sun Xiao,Zhu Meng

Funder

Natural Science Foundation of Shandong

Project of the Shandong Province Higher Educational Science and Technology Key Program

Yantai Science and Technology Plan

Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Information Systems

Reference44 articles.

1. Images segmentation based on interval type-2 Fuzzy C-Means;Assas,2015

2. Multi-component image segmentation using a hybrid dynamic genetic algorithm and fuzzy c-means;Awad;IET Image Process.,2009

3. Satellite image segmentation using self-organizing maps and fuzzy c-means;Awad,2009

4. Data clustering with partial supervision;Bouchachia;Data Min. Knowl. Discov.,2006

5. Watershed classification by remote sensing indices: a fuzzy c-means clustering approach;Choubin;J. Mt. Sci.,2017

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