NDLI: Feature selection for ERS-1/2 InSAR classification: high dimensionality case

Content Provider	IEEE Xplore Digital Library
Author	Huber, R. Dutra, L.V.
Copyright Year	1998
Description	Author affiliation: Aero-Sensing Radarsyst. GmbH, Wessling, Germany (Huber, R.)
Abstract	A systematic way of selection and assessment of the performance of a large number of texture features extracted from spaceborne interferometric SAR data and classified with different types of classifiers is presented. Multi-seasonal ERS-1 and ERS-2 SAR data of the Czech Republic is used to classify into four different land-cover classes. A multistage search method in the space of all possible feature subsets taken from local statistics, fractal analysis and co-occurrence matrices is proposed and tested. In the early stages of the method, features are ranked according to its discriminatory power measured by a ranking coefficient based on subset performance measured by Jeffreis-Matusita-distance. Best ranked features are chosen and a new set is formed and evaluated using the hold-out method employing maximum-likelihood, nearest neighbor and multilayer perceptron classifiers.
Starting Page	1605
Ending Page	1607
File Size	448866
Page Count	3
File Format	PDF
ISBN	0780344030
DOI	10.1109/IGARSS.1998.691637
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1998-07-06
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Synthetic aperture radar interferometry Power measurement Feature extraction Data mining Search methods Statistical analysis Fractals Testing Nearest neighbor searches Multilayer perceptrons
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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