CONSENSUAL AND HIERARCHICAL CLASSIFICATION OF REMOTELY SENSED MULTISPECTRAL IMAGES

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" CONSENSUAL AND HIERARCHICAL CLASSIFICATION OF REMOTELY SENSED MULTISPECTRAL IMAGES "

Document Type	:	Latin Dissertation
Language of Document	:	English
Record Number	:	150248
Doc. No	:	ET22040
Main Entry	:	Jaejoon Lee
Title Proper	:	CONSENSUAL AND HIERARCHICAL CLASSIFICATION OF REMOTELY SENSED MULTISPECTRAL IMAGES
Note	:	This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract	:	Classification of remotely sensed multispectral images involves assigning a classto each pixel which has similar characteristics with known land cover. This is theimportant step in remote sensing to extract information about the Earthبs surface.Statistical methods and computational intelligence algorithms such as neural networksare commonly used for classification. However, no single classifier can begood for all kinds of multispectral...,..tested for theQ1 PC1 bus cardBoth these projects mere sofixare des elopment efforts tonards contributing to dlfferentaspects of Roboucs and lZ1echatronics projects m the Controls and Roboucs Group..
Subject	:	Electericl tess
	:	برق
electronic file name	:	TL45236.pdf
Title and statement of responsibility and	:	CONSENSUAL AND HIERARCHICAL CLASSIFICATION OF REMOTELY SENSED MULTISPECTRAL IMAGES [Thesis]