A Novel Remote Sensing Image Classification Method Based on Semi-supervised Fuzzy C-Means

Guozheng Feng; Jindong Xu; Baode Fan; Tianyu Zhao; Xiao Sun; Meng Zhu

doi:10.1007/978-981-13-7983-3_2

ScienceGate Book Chapters

BOOK-CHAPTER

A Novel Remote Sensing Image Classification Method Based on Semi-supervised Fuzzy C-Means

Guozheng Feng Jindong Xu Baode Fan Tianyu Zhao Xiao Sun Meng Zhu

Year: 2019 Communications in computer and information science Pages: 15-25 Publisher: Springer Science+Business Media

DOI: 10.1007/978-981-13-7983-3_2

Get Full-Text PDF Get Analytical Report

Keywords:

Fuzzy logic Constraint (computer-aided design) Interval (graph theory) Pattern recognition (psychology) Computer science Image (mathematics) Pixel Data mining Fuzzy set Cluster analysis Fuzzy clustering Process (computing) Artificial intelligence Set (abstract data type) Algorithm Mathematics

Metrics

Cited By

0.00

FWCI (Field Weighted Citation Impact)

Refs

0.08

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Topics

Remote-Sensing Image Classification

Physical Sciences → Engineering → Media Technology

Remote Sensing and Land Use

Physical Sciences → Earth and Planetary Sciences → Atmospheric Science

Advanced Image Fusion Techniques

Physical Sciences → Engineering → Media Technology

A Novel Remote Sensing Image Classification Method Based on Semi-supervised Fuzzy C-Means

Metrics

Topics

Related Documents

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

Remote sensing image classification based on improved fuzzy c-means

Hyperspectral Image Classification Based on Improved Semi-supervised Fuzzy C-means Algorithm

A novel semi-supervised fuzzy c-means clustering method

Remote Sensing Image Classification Method Based on Preferential Adaptive Interval-Value Fuzzy C-Means