ASSESSING RESOLUTION TRADEOFFS OF REMOTE SENSING DATA VIA CLASSIFICATION ACCURACY CUBES FOR SENSOR SELECTION AND DESIGN

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" ASSESSING RESOLUTION TRADEOFFS OF REMOTE SENSING DATA VIA CLASSIFICATION ACCURACY CUBES FOR SENSOR SELECTION AND DESIGN "

Document Type	:	Latin Dissertation
Language of Document	:	English
Record Number	:	149152
Doc. No	:	ET20944
Main Entry	:	Wesley Johnson
Title Proper	:	ASSESSING RESOLUTION TRADEOFFS OF REMOTE SENSING DATA VIA CLASSIFICATION ACCURACY CUBES FOR SENSOR SELECTION AND DESIGN
Note	:	This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract	:	An investigation has been done on classification accuracy data cubes for use inthe determination of spectral, spatial, and temporal sensor resolution requirements. Thedata cube is the result of an automatic target recognition (ATR) system that creates andcombines reduced spectral and spatial resolution datasets. Datasets are subjected to theBest Spectral Bands (BSB) and the All Spectral Bands (ASB) testing method approachesand nearest mean (NM) and maximum likelihood (ML) classifiers. The effectiveness of.
Subject	:	Electericl tess
	:	برق
electronic file name	:	TL44090.pdf
Title and statement of responsibility and	:	ASSESSING RESOLUTION TRADEOFFS OF REMOTE SENSING DATA VIA CLASSIFICATION ACCURACY CUBES FOR SENSOR SELECTION AND DESIGN [Thesis]