Towards a Novel Approach for Texture Segmentation of SAR Sea Ice Imagery
: Texture is an important aspect of identifying sea ice types in SAR imagery. The traditional grey level cooccurrence matrix has limitations that prevent its use for segmentation purposes. The Gabor filter, based on characteristics of the human visual system, is an alternative approach that can gene...
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ftciteseerx:oai:CiteSeerX.psu:10.1.1.52.3397 2023-05-15T18:17:15+02:00 Towards a Novel Approach for Texture Segmentation of SAR Sea Ice Imagery David Clausi M. Ed Jernigan The Pennsylvania State University CiteSeerX Archives application/postscript http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.52.3397 http://monet.uwaterloo.ca/~dclausi/crss96_gabor.ps en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.52.3397 http://monet.uwaterloo.ca/~dclausi/crss96_gabor.ps Metadata may be used without restrictions as long as the oai identifier remains attached to it. http://monet.uwaterloo.ca/~dclausi/crss96_gabor.ps text ftciteseerx 2016-01-08T10:03:17Z : Texture is an important aspect of identifying sea ice types in SAR imagery. The traditional grey level cooccurrence matrix has limitations that prevent its use for segmentation purposes. The Gabor filter, based on characteristics of the human visual system, is an alternative approach that can generate an improved texture feature set. Texture segmentation applied to a difficult image demonstrates the versatility and appropriateness of the Gabor approach when compared to the cooccurrence features. I. INTRODUCTION Exceptional volumes of data transmitted from satellite and aerial radar platforms demand the automated interpretation of remotely sensed imagery in a cost and time-effective manner. There is no known algorithm capable of performing consistent identification of the various visually distinct formations found in SAR sea ice imagery. The remote sensing community recognizes that texture is an important aspect of automated segmentation of such imagery. A common texture feature appro. Text Sea ice Unknown |
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: Texture is an important aspect of identifying sea ice types in SAR imagery. The traditional grey level cooccurrence matrix has limitations that prevent its use for segmentation purposes. The Gabor filter, based on characteristics of the human visual system, is an alternative approach that can generate an improved texture feature set. Texture segmentation applied to a difficult image demonstrates the versatility and appropriateness of the Gabor approach when compared to the cooccurrence features. I. INTRODUCTION Exceptional volumes of data transmitted from satellite and aerial radar platforms demand the automated interpretation of remotely sensed imagery in a cost and time-effective manner. There is no known algorithm capable of performing consistent identification of the various visually distinct formations found in SAR sea ice imagery. The remote sensing community recognizes that texture is an important aspect of automated segmentation of such imagery. A common texture feature appro. |
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The Pennsylvania State University CiteSeerX Archives |
format |
Text |
author |
David Clausi M. Ed Jernigan |
spellingShingle |
David Clausi M. Ed Jernigan Towards a Novel Approach for Texture Segmentation of SAR Sea Ice Imagery |
author_facet |
David Clausi M. Ed Jernigan |
author_sort |
David Clausi |
title |
Towards a Novel Approach for Texture Segmentation of SAR Sea Ice Imagery |
title_short |
Towards a Novel Approach for Texture Segmentation of SAR Sea Ice Imagery |
title_full |
Towards a Novel Approach for Texture Segmentation of SAR Sea Ice Imagery |
title_fullStr |
Towards a Novel Approach for Texture Segmentation of SAR Sea Ice Imagery |
title_full_unstemmed |
Towards a Novel Approach for Texture Segmentation of SAR Sea Ice Imagery |
title_sort |
towards a novel approach for texture segmentation of sar sea ice imagery |
url |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.52.3397 http://monet.uwaterloo.ca/~dclausi/crss96_gabor.ps |
genre |
Sea ice |
genre_facet |
Sea ice |
op_source |
http://monet.uwaterloo.ca/~dclausi/crss96_gabor.ps |
op_relation |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.52.3397 http://monet.uwaterloo.ca/~dclausi/crss96_gabor.ps |
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Metadata may be used without restrictions as long as the oai identifier remains attached to it. |
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1766191359015780352 |