DETECTING THE SOCIOECONOMIC CONDITIONS OF URBAN NEIGHBORHOODS THROUGH WAVELET ANALYSIS OF REMOTELY SENSED IMAGERY

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" DETECTING THE SOCIOECONOMIC CONDITIONS OF URBAN NEIGHBORHOODS THROUGH WAVELET ANALYSIS OF REMOTELY SENSED IMAGERY "

Document Type	:	Latin Dissertation
Language of Document	:	English
Record Number	:	148881
Doc. No	:	ET20673
Main Entry	:	Guiyun Zhou
Title Proper	:	DETECTING THE SOCIOECONOMIC CONDITIONS OF URBAN NEIGHBORHOODS THROUGH WAVELET ANALYSIS OF REMOTELY SENSED IMAGERY
Note	:	This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract	:	Wavelet analysis is an efficient approach to studying textural patterns at different scales.Artificial neural networks can learn very complex patterns in the data and could be an efficientclassifier. However, whether wavelet analysis, in combination with artificial neural networks orother classifiers, can be used to detect the social-economic conditions of urban neighborhood is akey research question that needs further study. The hypotheses of this study were: 1 neural.
Subject	:	Electericl tess
	:	برق
electronic file name	:	TL43813.pdf
Title and statement of responsibility and	:	DETECTING THE SOCIOECONOMIC CONDITIONS OF URBAN NEIGHBORHOODS THROUGH WAVELET ANALYSIS OF REMOTELY SENSED IMAGERY [Thesis]