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" Texture Motifs in Remote Sensed Imagery "


Document Type : Latin Dissertation
Language of Document : English
Record Number : 149870
Doc. No : ET21662
Main Entry : Shawn Donald Newsam
Title Proper : Texture Motifs in Remote Sensed Imagery
Note : This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract : This dissertation explores the use of texture for modelling geospatial objects inremote sensed images. Texture based analysis of remote sensed images has not en-joyed the same success as spectral based analysis. This is surprising since texturecan be considered as context at the pixel level, and context is acknowledged to beimportant for analyzing geographic data. This work extends texture based analysisbeyond land cover classification, which can be viewed as the current state-of-the-art,to modelling objects composed of multiple characteristic textures or texture motzfs.A statistical pattern recognition framework is adopted in which the texture motifsare modelled as mixtures of Gaussians in the high dimensional texture feature space,and the model parameters are learned in an unsupervised manner using the expecta-tion maximization algorithm. The objects and their motifs are assumed to occur atarbitrary orientations in the images which presents a formidable challenge to using..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 : TL44840.pdf
Title and statement of responsibility and : Texture Motifs in Remote Sensed Imagery [Thesis]
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TL44840.pdf
TL44840.pdf
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