NDLI: Classification of remote sensing data using partially trained neural network

Content Provider	IEEE Xplore Digital Library
Author	Rau, Y.C. Lure, Y.M.F.
Copyright Year	1993
Description	Author affiliation: Caelum Res. Corp., Silver Spring, MD, USA (Rau, Y.C.; Lure, Y.M.F.)
Abstract	The feasibility of a partially trained artificial neural network technique for classification of remote sensing sea ice coverage is presented. The neural network technique used is feed-forward back-propagation, and the sensing object is the ice coverage over Arctic region. This ice coverage information is obtained from the special sensor microwave imager (SSMI) microwave radiative measurements. Seven channels brightness temperature are used to identify six different surface classes. Different stages of partially trained feed-forward back-propagation artificial neural networks have been applied for the classification of ice coverage in order to investigate the performance of partial trained network at different training stages and to reduce the lengthy training time required by most BP ANN architectures.
Starting Page	728
Ending Page	730
File Size	238045
Page Count	3
File Format	PDF
ISBN	0780312406
DOI	10.1109/IGARSS.1993.322233
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1993-08-18
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Remote sensing Artificial neural networks Feedforward systems Sea ice Neural networks Feedforward neural networks Arctic Image sensors Microwave sensors Microwave measurements
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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