EXPLOITING REMOTELY SENSED HYPERSPECTRAL DATA VIA SPECTRAL BAND GROUPING FOR DIMENSIONALITY REDUCTION AND MULTICLASSIFIERS

منو

" EXPLOITING REMOTELY SENSED HYPERSPECTRAL DATA VIA SPECTRAL BAND GROUPING FOR DIMENSIONALITY REDUCTION AND MULTICLASSIFIERS "

Document Type	:	Latin Dissertation
Language of Document	:	English
Record Number	:	149012
Doc. No	:	ET20804
Main Entry	:	Shilpa Venkataraman
Title Proper	:	EXPLOITING REMOTELY SENSED HYPERSPECTRAL DATA VIA SPECTRAL BAND GROUPING FOR DIMENSIONALITY REDUCTION AND MULTICLASSIFIERS
Note	:	This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract	:	To overcome the dimensionality curse of hyperspectral data, an investigation hasbeen done on the use of grouping spectral bands, followed by feature level fusion andclassifier decision fusion, to develop an automated target recognition (ATR) system fordata reduction and enhanced classification. The entire span of spectral bands in thehyperspectral data.
Subject	:	Electericl tess
	:	برق
electronic file name	:	TL43949.pdf
Title and statement of responsibility and	:	EXPLOITING REMOTELY SENSED HYPERSPECTRAL DATA VIA SPECTRAL BAND GROUPING FOR DIMENSIONALITY REDUCTION AND MULTICLASSIFIERS [Thesis]