NDLI: A user-friendly system for synthetic aperture radar image classification based on grayscale distributional properties and context

Content Provider	IEEE Xplore Digital Library
Author	Frery, A.C. Yanasse, C.daC.F. Vieira, P.R. Santanna, S.J.S. Renno, C.D.
Copyright Year	1997
Description	Author affiliation: Dept. de Inf., Univ. Fed. de Pernambuco, Recife, Brazil (Frery, A.C.)
Abstract	The purpose of this paper is to present a system for the analysis and classification of Synthetic Aperture Radar (SAR) images. This system, unlike most of its competitors, allows a careful modeling of the statistical properties of the data beyond the usual Gaussian hypothesis. The modeling tools include basic descriptive measures and the choice of suited distributions, through goodness-of-fit tests, to model the data. The classification tools offer the choice between pointwise and contextual (Markovian) techniques, and the quantitative assessment of the quality of the results. The system is goal-driven, and its interfaces are solely based on pull-down menus; the user is prompted with the correct sequence of operations, whenever an invalid option is invoked. An example of the use of this system for the classification of a SAR image is presented.
Starting Page	211
Ending Page	218
File Size	1543321
Page Count	8
File Format	PDF
ISBN	0818681020
DOI	10.1109/SIGRA.1997.625180
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1997-10-14
Publisher Place	Brazil
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Synthetic aperture radar Image classification Gray-scale Image analysis Image sensors Radar imaging Optical sensors Image processing Testing Airborne radar
Content Type	Text
Resource Type	Article

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