An Improved Methodology For Land-Cover Classification Using Artificial Neural Networks And A Decision Tree Classifier.

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" An Improved Methodology For Land-Cover Classification Using Artificial Neural Networks And A Decision Tree Classifier. "

Document Type	:	Latin Dissertation
Language of Document	:	English
Record Number	:	150303
Doc. No	:	ET22095
Main Entry	:	Olimpia Arellano-Neri
Title Proper	:	An Improved Methodology For Land-Cover Classification Using Artificial Neural Networks And A Decision Tree Classifier.
Note	:	This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract	:	Mapping is essential for the analysis of the land and land-cover dynamics,which influence many environmental processes and properties. When creatingland-cover maps it is important to minimize error, since error will propagate intolater analyses based upon these land cover maps. The reliability of land covermaps derived from remotely sensed...,..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	:	TL45295.pdf
Title and statement of responsibility and	:	An Improved Methodology For Land-Cover Classification Using Artificial Neural Networks And A Decision Tree Classifier. [Thesis]