Texture Representation of SAR Sea Ice Imagery Using Multi-Displacement Co-Occurrence Matrices
Abstract-- In this paper, we desribe mdti-displacement cooccurrence matrices for re~enting W ice textures of SAR imagery. Our design of co-occcurrence matrices captures local relationships among neighboring pixels and global links among distant pixels, an advantage over other existing versions of co...
Main Author: | |
---|---|
Other Authors: | |
Format: | Text |
Language: | English |
Subjects: | |
Online Access: | http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.70.3856 http://www.ittc.ku.edu/publications/documents/Soh1996_igarss96-6.pdf |
id |
ftciteseerx:oai:CiteSeerX.psu:10.1.1.70.3856 |
---|---|
record_format |
openpolar |
spelling |
ftciteseerx:oai:CiteSeerX.psu:10.1.1.70.3856 2023-05-15T18:17:32+02:00 Texture Representation of SAR Sea Ice Imagery Using Multi-Displacement Co-Occurrence Matrices Costaa Tsatsoulis The Pennsylvania State University CiteSeerX Archives application/pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.70.3856 http://www.ittc.ku.edu/publications/documents/Soh1996_igarss96-6.pdf en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.70.3856 http://www.ittc.ku.edu/publications/documents/Soh1996_igarss96-6.pdf Metadata may be used without restrictions as long as the oai identifier remains attached to it. http://www.ittc.ku.edu/publications/documents/Soh1996_igarss96-6.pdf text ftciteseerx 2016-01-08T18:51:49Z Abstract-- In this paper, we desribe mdti-displacement cooccurrence matrices for re~enting W ice textures of SAR imagery. Our design of co-occcurrence matrices captures local relationships among neighboring pixels and global links among distant pixels, an advantage over other existing versions of co-occurrence matrices. As a result, it can adequately represent micro textures, such as grainy details, and macro textures, such as patchy blocks. We have conducted experiments to compare our multi-displacement co-occurrence matrices with other existing versions using Bayesian linear discrimination. We have found that our design is the most texturally representative in terms of classification accuraci = in both training and test datasets. In addition, we have applied this design to sea ice texture analysis which includes detection and localization, and subsequent image-texture mapping. Text Sea ice Unknown |
institution |
Open Polar |
collection |
Unknown |
op_collection_id |
ftciteseerx |
language |
English |
description |
Abstract-- In this paper, we desribe mdti-displacement cooccurrence matrices for re~enting W ice textures of SAR imagery. Our design of co-occcurrence matrices captures local relationships among neighboring pixels and global links among distant pixels, an advantage over other existing versions of co-occurrence matrices. As a result, it can adequately represent micro textures, such as grainy details, and macro textures, such as patchy blocks. We have conducted experiments to compare our multi-displacement co-occurrence matrices with other existing versions using Bayesian linear discrimination. We have found that our design is the most texturally representative in terms of classification accuraci = in both training and test datasets. In addition, we have applied this design to sea ice texture analysis which includes detection and localization, and subsequent image-texture mapping. |
author2 |
The Pennsylvania State University CiteSeerX Archives |
format |
Text |
author |
Costaa Tsatsoulis |
spellingShingle |
Costaa Tsatsoulis Texture Representation of SAR Sea Ice Imagery Using Multi-Displacement Co-Occurrence Matrices |
author_facet |
Costaa Tsatsoulis |
author_sort |
Costaa Tsatsoulis |
title |
Texture Representation of SAR Sea Ice Imagery Using Multi-Displacement Co-Occurrence Matrices |
title_short |
Texture Representation of SAR Sea Ice Imagery Using Multi-Displacement Co-Occurrence Matrices |
title_full |
Texture Representation of SAR Sea Ice Imagery Using Multi-Displacement Co-Occurrence Matrices |
title_fullStr |
Texture Representation of SAR Sea Ice Imagery Using Multi-Displacement Co-Occurrence Matrices |
title_full_unstemmed |
Texture Representation of SAR Sea Ice Imagery Using Multi-Displacement Co-Occurrence Matrices |
title_sort |
texture representation of sar sea ice imagery using multi-displacement co-occurrence matrices |
url |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.70.3856 http://www.ittc.ku.edu/publications/documents/Soh1996_igarss96-6.pdf |
genre |
Sea ice |
genre_facet |
Sea ice |
op_source |
http://www.ittc.ku.edu/publications/documents/Soh1996_igarss96-6.pdf |
op_relation |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.70.3856 http://www.ittc.ku.edu/publications/documents/Soh1996_igarss96-6.pdf |
op_rights |
Metadata may be used without restrictions as long as the oai identifier remains attached to it. |
_version_ |
1766191812200890368 |