Maximin distance based band selection for endmember extraction in hyperspectral images using simplex growing algorithm

With the fast growing technologies in the field of remote sensing, hyperspectral image analysis has made a great breakthrough. It provides accurate and detailed information of objects in the image when compared to any other remotely sensed data. It is possible because of its high redundancy in natur...

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Veröffentlicht in:	Multimedia tools and applications 2018-03, Vol.77 (6), p.7221-7237
Hauptverfasser:	Ganesan, Veera Senthil Kumar, S, Vasuki
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Clustering Computer Communication Networks Computer Science Data Structures and Information Theory Direct reduction Distance measurement Feature extraction Feature selection Heuristic methods Hyperspectral imaging Image analysis Image processing Multimedia Information Systems Object recognition Principal components analysis Redundancy Remote sensing Similarity Special Purpose and Application-Based Systems Spectra Variance analysis
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