Object-oriented feature-tracking algorithms for SAR images of the marginal ice zone

An unsupervised method that chooses and applies the most appropriate tracking algorithm from among different sea-ice tracking algorithms is reported. In contrast to current unsupervised methods, this method chooses and applies an algorithm by partially examining a sequential image pair to draw infer...

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Bibliographic Details
Main Authors: Daida, Jason, Samadani, Ramin, Vesecky, John F.
Format: Other/Unknown Material
Language:unknown
Published: 1990
Subjects:
48
Sea ice
Online Access:http://ntrs.nasa.gov/search.jsp?R=19900062614
id ftnasantrs:oai:casi.ntrs.nasa.gov:19900062614
record_format openpolar
spelling ftnasantrs:oai:casi.ntrs.nasa.gov:19900062614 2023-05-15T18:17:51+02:00 Object-oriented feature-tracking algorithms for SAR images of the marginal ice zone Daida, Jason Samadani, Ramin Vesecky, John F. Unclassified, Unlimited, Publicly available Jul 1, 1990 http://ntrs.nasa.gov/search.jsp?R=19900062614 unknown http://ntrs.nasa.gov/search.jsp?R=19900062614 Accession ID: 90A49669 Copyright Other Sources 48 Vancouver, Canada, July 10-14, 1989) IEEE Transactions on Geoscience and Remote Sensing; 573-589 1990 ftnasantrs 2012-02-15T18:35:22Z An unsupervised method that chooses and applies the most appropriate tracking algorithm from among different sea-ice tracking algorithms is reported. In contrast to current unsupervised methods, this method chooses and applies an algorithm by partially examining a sequential image pair to draw inferences about what was examined. Based on these inferences the reported method subsequently chooses which algorithm to apply to specific areas of the image pair where that algorithm should work best. Other/Unknown Material Sea ice NASA Technical Reports Server (NTRS)
institution Open Polar
collection NASA Technical Reports Server (NTRS)
op_collection_id ftnasantrs
language unknown
topic 48
spellingShingle 48
Daida, Jason
Samadani, Ramin
Vesecky, John F.
Object-oriented feature-tracking algorithms for SAR images of the marginal ice zone
topic_facet 48
description An unsupervised method that chooses and applies the most appropriate tracking algorithm from among different sea-ice tracking algorithms is reported. In contrast to current unsupervised methods, this method chooses and applies an algorithm by partially examining a sequential image pair to draw inferences about what was examined. Based on these inferences the reported method subsequently chooses which algorithm to apply to specific areas of the image pair where that algorithm should work best.
format Other/Unknown Material
author Daida, Jason
Samadani, Ramin
Vesecky, John F.
author_facet Daida, Jason
Samadani, Ramin
Vesecky, John F.
author_sort Daida, Jason
title Object-oriented feature-tracking algorithms for SAR images of the marginal ice zone
title_short Object-oriented feature-tracking algorithms for SAR images of the marginal ice zone
title_full Object-oriented feature-tracking algorithms for SAR images of the marginal ice zone
title_fullStr Object-oriented feature-tracking algorithms for SAR images of the marginal ice zone
title_full_unstemmed Object-oriented feature-tracking algorithms for SAR images of the marginal ice zone
title_sort object-oriented feature-tracking algorithms for sar images of the marginal ice zone
publishDate 1990
url http://ntrs.nasa.gov/search.jsp?R=19900062614
op_coverage Unclassified, Unlimited, Publicly available
genre Sea ice
genre_facet Sea ice
op_source Other Sources
op_relation http://ntrs.nasa.gov/search.jsp?R=19900062614
Accession ID: 90A49669
op_rights Copyright
_version_ 1766193257467871232

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