NDLI: Classification of full polarimetric SAR-data using artificial neural networks and fuzzy algorithms

Content Provider	IEEE Xplore Digital Library
Author	Hellmann, M. Jager, G. Kratzschmar, E. Habermeyer, M.
Copyright Year	1999
Description	Author affiliation: Deutsches Zentrum fur Luft- und Raumfahrt, Oberpfaffenhofen, Germany (Hellmann, M.)
Abstract	Within recent years several investigations have reported the use of polarimetric data to map Earth terrain types and land covers. For the operational application some demands, besides the accuracy requirements, must be fulfilled. In order to make the handling of the classification easy for the common user, the algorithm has to be data set independent and the handling must be possible without a priori knowledge. The authors outline a classification based on the entropy (H)-/spl alpha/ decomposition theorem extended by the use of the first eigenvalue of the coherency matrix. Fuzzy algorithms as well as artificial neural network (ANN) strategies are applied to improve the classification accuracy and to enhance the handling. The algorithms are applied to a L-band data set of the test site Oberpfaffenhofen, Germany, acquired with the DLR's airborne Experimental SAR (E-SAR) in April 1997. The classification results are discussed and compared to reference data i.e. topographic maps in the scale 1:25000 (maps 7833 and 7933) and airborne optical data acquired with a ZEISS RMK A30/23 Camera in August 1997.
Starting Page	1995
Ending Page	1997
File Size	384737
Page Count	3
File Format	PDF
ISBN	0780352076
DOI	10.1109/IGARSS.1999.775011
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1999-06-28
Publisher Place	Germany
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Artificial neural networks Fuzzy neural networks Fuzzy sets Eigenvalues and eigenfunctions Fuzzy control Entropy Backscatter Shape Light scattering Earth
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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