Automated remote sensing of sea ice using synthetic aperture radar
Two techniques for automated sea ice tracking: image pyramids (hierarchical correlation) and feature tracking were applied to a pair of SEASAT SAR sea ice images. The results compare well with each other and manually tracked estimates of the ice velocity field. Refinement of the image pyramid techni...
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ftnasantrs:oai:casi.ntrs.nasa.gov:19870007753 2023-05-15T18:16:23+02:00 Automated remote sensing of sea ice using synthetic aperture radar Vesecky, J. F. Samadani, R. Smith, M. P. Daida, J. M. Bracewell, R. N. Unclassified, Unlimited, Publicly available Aug 1, 1986 http://ntrs.nasa.gov/search.jsp?R=19870007753 unknown http://ntrs.nasa.gov/search.jsp?R=19870007753 Accession ID: 87N17186 Copyright CASI 48 ESA Proceedings of the 1986 International Geoscience and Remote Sensing Symposium (IGARSS '86) on Remote Sensing: Today's Solutions for Tomorrow's Information Needs, Volume 1; p 127-132 1986 ftnasantrs 2012-02-15T16:57:51Z Two techniques for automated sea ice tracking: image pyramids (hierarchical correlation) and feature tracking were applied to a pair of SEASAT SAR sea ice images. The results compare well with each other and manually tracked estimates of the ice velocity field. Refinement of the image pyramid technique should include removal of a small number of erroneous velocity vectors using constraints dependent on correlation coefficient, near neighbor velocities, and velocity gradients. Estimates of sea ice velocity are successfully obtained over limited areas using the boundary segment tracking technique. Refinement of the feature tracking technique should include use of pressure ridge features, constrained search, and relaxation techniques. Other/Unknown Material Sea ice NASA Technical Reports Server (NTRS) Pyramid ENVELOPE(157.300,157.300,-81.333,-81.333) |
institution |
Open Polar |
collection |
NASA Technical Reports Server (NTRS) |
op_collection_id |
ftnasantrs |
language |
unknown |
topic |
48 |
spellingShingle |
48 Vesecky, J. F. Samadani, R. Smith, M. P. Daida, J. M. Bracewell, R. N. Automated remote sensing of sea ice using synthetic aperture radar |
topic_facet |
48 |
description |
Two techniques for automated sea ice tracking: image pyramids (hierarchical correlation) and feature tracking were applied to a pair of SEASAT SAR sea ice images. The results compare well with each other and manually tracked estimates of the ice velocity field. Refinement of the image pyramid technique should include removal of a small number of erroneous velocity vectors using constraints dependent on correlation coefficient, near neighbor velocities, and velocity gradients. Estimates of sea ice velocity are successfully obtained over limited areas using the boundary segment tracking technique. Refinement of the feature tracking technique should include use of pressure ridge features, constrained search, and relaxation techniques. |
format |
Other/Unknown Material |
author |
Vesecky, J. F. Samadani, R. Smith, M. P. Daida, J. M. Bracewell, R. N. |
author_facet |
Vesecky, J. F. Samadani, R. Smith, M. P. Daida, J. M. Bracewell, R. N. |
author_sort |
Vesecky, J. F. |
title |
Automated remote sensing of sea ice using synthetic aperture radar |
title_short |
Automated remote sensing of sea ice using synthetic aperture radar |
title_full |
Automated remote sensing of sea ice using synthetic aperture radar |
title_fullStr |
Automated remote sensing of sea ice using synthetic aperture radar |
title_full_unstemmed |
Automated remote sensing of sea ice using synthetic aperture radar |
title_sort |
automated remote sensing of sea ice using synthetic aperture radar |
publishDate |
1986 |
url |
http://ntrs.nasa.gov/search.jsp?R=19870007753 |
op_coverage |
Unclassified, Unlimited, Publicly available |
long_lat |
ENVELOPE(157.300,157.300,-81.333,-81.333) |
geographic |
Pyramid |
geographic_facet |
Pyramid |
genre |
Sea ice |
genre_facet |
Sea ice |
op_source |
CASI |
op_relation |
http://ntrs.nasa.gov/search.jsp?R=19870007753 Accession ID: 87N17186 |
op_rights |
Copyright |
_version_ |
1766189961850126336 |