CLASSIFICATION AND DATA ACQUISITION WITH INCOMPLETE DATA

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" CLASSIFICATION AND DATA ACQUISITION WITH INCOMPLETE DATA "

Document Type	:	Latin Dissertation
Language of Document	:	English
Record Number	:	148563
Doc. No	:	ET20355
Main Entry	:	David P. Williams
Title Proper	:	CLASSIFICATION AND DATA ACQUISITION WITH INCOMPLETE DATA
Note	:	This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract	:	In remote-sensing applications, incomplete data can result when only a subset of sensors(e.g., radar, infrared, acoustic) are deployed at certain regions. The limitations of singlesensor systems have spurred interest in employing multiple sensor modalities simultane-ously. For example, in land mine detection tasks, different sensor modalities are better-suited to capture different aspects of the underlying physics of the mines. Synthetic aper-ture radar sensors may be better at detecting surface mines, while infrared sensors maybe better at detecting buried mines. By employing multiple sensor modalities to address.
Subject	:	Electericl tess
	:	برق
electronic file name	:	TL43482.pdf
Title and statement of responsibility and	:	CLASSIFICATION AND DATA ACQUISITION WITH INCOMPLETE DATA [Thesis]