ICE WATER CLASSIFICATION USING STATISTICAL DISTRIBUTION BASED CONDITIONAL RANDOM FIELDS IN RADARSAT-2 DUAL POLARIZATION IMAGERY
In this paper, Statistical Distribution based Conditional Random Fields (STA-CRF) algorithm is exploited for improving marginal ice-water classification. Pixel level ice concentration is presented as the comparison of methods based on CRF. Furthermore, in order to explore the effective statistical d...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2017-09-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W7/1585/2017/isprs-archives-XLII-2-W7-1585-2017.pdf |
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| author | Y. Zhang Y. Zhang F. Li F. Li F. Li S. Zhang S. Zhang W. Hao W. Hao T. Zhu L. Yuan L. Yuan F. Xiao F. Xiao |
| author_facet | Y. Zhang Y. Zhang F. Li F. Li F. Li S. Zhang S. Zhang W. Hao W. Hao T. Zhu L. Yuan L. Yuan F. Xiao F. Xiao |
| author_sort | Y. Zhang |
| collection | DOAJ |
| description | In this paper, Statistical Distribution based Conditional Random Fields (STA-CRF) algorithm is exploited for improving marginal ice-water classification. Pixel level ice concentration is presented as the comparison of methods based on CRF. Furthermore, in order to explore the effective statistical distribution model to be integrated into STA-CRF, five statistical distribution models are investigated. The STA-CRF methods are tested on 2 scenes around Prydz Bay and Adélie Depression, where contain a variety of ice types during melt season. Experimental results indicate that the proposed method can resolve sea ice edge well in Marginal Ice Zone (MIZ) and show a robust distinction of ice and water. |
| first_indexed | 2024-04-13T13:24:29Z |
| format | Article |
| id | doaj.art-faecec7be05244648a0bbadde51404c7 |
| institution | Directory Open Access Journal |
| issn | 1682-1750 2194-9034 |
| language | English |
| last_indexed | 2024-04-13T13:24:29Z |
| publishDate | 2017-09-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spelling | doaj.art-faecec7be05244648a0bbadde51404c72022-12-22T02:45:13ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342017-09-01XLII-2-W71585159210.5194/isprs-archives-XLII-2-W7-1585-2017ICE WATER CLASSIFICATION USING STATISTICAL DISTRIBUTION BASED CONDITIONAL RANDOM FIELDS IN RADARSAT-2 DUAL POLARIZATION IMAGERYY. Zhang0Y. Zhang1F. Li2F. Li3F. Li4S. Zhang5S. Zhang6W. Hao7W. Hao8T. Zhu9L. Yuan10L. Yuan11F. Xiao12F. Xiao13Chinese Antarctic Center of Surveying and Mapping, Wuhan University, 430079 Wuhan, ChinaCollaborative Innovation Centre for Territorial Sovereignty and Maritime Rights, Wuhan University, 430079 Wuhan, ChinaChinese Antarctic Center of Surveying and Mapping, Wuhan University, 430079 Wuhan, ChinaThe State Key Laboratory for Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, 430079 Wuhan, ChinaCollaborative Innovation Centre for Territorial Sovereignty and Maritime Rights, Wuhan University, 430079 Wuhan, ChinaChinese Antarctic Center of Surveying and Mapping, Wuhan University, 430079 Wuhan, ChinaCollaborative Innovation Centre for Territorial Sovereignty and Maritime Rights, Wuhan University, 430079 Wuhan, ChinaChinese Antarctic Center of Surveying and Mapping, Wuhan University, 430079 Wuhan, ChinaCollaborative Innovation Centre for Territorial Sovereignty and Maritime Rights, Wuhan University, 430079 Wuhan, ChinaThe State Key Laboratory for Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, 430079 Wuhan, ChinaChinese Antarctic Center of Surveying and Mapping, Wuhan University, 430079 Wuhan, ChinaCollaborative Innovation Centre for Territorial Sovereignty and Maritime Rights, Wuhan University, 430079 Wuhan, ChinaChinese Antarctic Center of Surveying and Mapping, Wuhan University, 430079 Wuhan, ChinaCollaborative Innovation Centre for Territorial Sovereignty and Maritime Rights, Wuhan University, 430079 Wuhan, ChinaIn this paper, Statistical Distribution based Conditional Random Fields (STA-CRF) algorithm is exploited for improving marginal ice-water classification. Pixel level ice concentration is presented as the comparison of methods based on CRF. Furthermore, in order to explore the effective statistical distribution model to be integrated into STA-CRF, five statistical distribution models are investigated. The STA-CRF methods are tested on 2 scenes around Prydz Bay and Adélie Depression, where contain a variety of ice types during melt season. Experimental results indicate that the proposed method can resolve sea ice edge well in Marginal Ice Zone (MIZ) and show a robust distinction of ice and water.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W7/1585/2017/isprs-archives-XLII-2-W7-1585-2017.pdf |
| spellingShingle | Y. Zhang Y. Zhang F. Li F. Li F. Li S. Zhang S. Zhang W. Hao W. Hao T. Zhu L. Yuan L. Yuan F. Xiao F. Xiao ICE WATER CLASSIFICATION USING STATISTICAL DISTRIBUTION BASED CONDITIONAL RANDOM FIELDS IN RADARSAT-2 DUAL POLARIZATION IMAGERY The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | ICE WATER CLASSIFICATION USING STATISTICAL DISTRIBUTION BASED CONDITIONAL RANDOM FIELDS IN RADARSAT-2 DUAL POLARIZATION IMAGERY |
| title_full | ICE WATER CLASSIFICATION USING STATISTICAL DISTRIBUTION BASED CONDITIONAL RANDOM FIELDS IN RADARSAT-2 DUAL POLARIZATION IMAGERY |
| title_fullStr | ICE WATER CLASSIFICATION USING STATISTICAL DISTRIBUTION BASED CONDITIONAL RANDOM FIELDS IN RADARSAT-2 DUAL POLARIZATION IMAGERY |
| title_full_unstemmed | ICE WATER CLASSIFICATION USING STATISTICAL DISTRIBUTION BASED CONDITIONAL RANDOM FIELDS IN RADARSAT-2 DUAL POLARIZATION IMAGERY |
| title_short | ICE WATER CLASSIFICATION USING STATISTICAL DISTRIBUTION BASED CONDITIONAL RANDOM FIELDS IN RADARSAT-2 DUAL POLARIZATION IMAGERY |
| title_sort | ice water classification using statistical distribution based conditional random fields in radarsat 2 dual polarization imagery |
| url | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W7/1585/2017/isprs-archives-XLII-2-W7-1585-2017.pdf |
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