NDLI: Comparison of neural network classifiers for NSCAT sea ice flag

Content Provider	IEEE Xplore Digital Library
Author	Jun-Dong Park Jones, W.L.
Copyright Year	1998
Description	Author affiliation: Remote Sensing Lab., Central Florida Univ., Orlando, FL, USA (Jun-Dong Park)
Abstract	The NASA Scatterometer (NSCAT) is designed to measure wind vectors over ice-free oceans. To prevent contamination of the wind measurements, by the presence of sea ice, algorithms based on neural network technology have been developed to classify ice-free ocean surfaces. Multi-layer perceptron (MLP), radial basis function (RBF) neural networks trained using normalized radar cross section measurements from Ku-band NSCAT Scatterometer are described and compared. Algorithm skill in locating the sea ice edge around Arctic and Antarctic regions is evaluated by comparisons with surface truth (SSMI and SAR images). Classification results show the usefulness of using neural network techniques in flagging ice-free cells in real time and independently of other sensors.
Starting Page	2237
Ending Page	2239
File Size	349897
Page Count	3
File Format	PDF
ISBN	0780344030
DOI	10.1109/IGARSS.1998.703798
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	Neural networks Sea ice Sea measurements Pollution measurement Radar measurements Oceans Sea surface Ice surface NASA Contamination
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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A neural network sea ice edge classifier for the NASA Scatterometer

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Comparison of neural network classifiers for NSCAT sea ice flag

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