Synthetic Aperture Radar (SAR) images features clustering using Fuzzy c-means (FCM) clustering algorithm

Remote sensing applications such as Ecological monitoring, Disaster monitoring, Volcanic monitoring, surveillance and reconnaissance requires broad range imaginary data with very high resolution. Data captured under different times such as day or night and under different weather conditions poses ad...

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Veröffentlicht in:	Computational ecology and software Jg. 2; H. 4; S. 220 - 225
1. Verfasser:	Hussain, Rashid
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Hong Kong Computational Ecology and Software 01.12.2012 International Academy of Ecology and Environmental Sciences (IAEES) International Academy of Ecology and Environmental Sciences
Schlagworte:	Algorithms Clustering Ecological monitoring Fuzzy Fuzzy c-means (FCM) clustering algorithm Fuzzy set theory Monitoring remote sensing satellite radar image Synthetic aperture radar Synthetic Aperture Radar (SAR)
ISSN:	2220-721X, 2220-721X
Online-Zugang:	Volltext
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