Classification of MODIS images combining surface temperature and texture features using the Support Vector Machine method for estimation of the extent of sea ice in the frozen Bohai Bay, China
Published in: | International Journal of Remote Sensing |
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Format: | Article in Journal/Newspaper |
Language: | English |
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Informa UK Limited
2015
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Online Access: | http://dx.doi.org/10.1080/01431161.2015.1041619 https://www.tandfonline.com/doi/pdf/10.1080/01431161.2015.1041619 |
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crinformauk:10.1080/01431161.2015.1041619 2024-09-15T18:34:41+00:00 Classification of MODIS images combining surface temperature and texture features using the Support Vector Machine method for estimation of the extent of sea ice in the frozen Bohai Bay, China Su, Hua Wang, Yunpeng Xiao, Jie Yan, Xiao-Hai 2015 http://dx.doi.org/10.1080/01431161.2015.1041619 https://www.tandfonline.com/doi/pdf/10.1080/01431161.2015.1041619 en eng Informa UK Limited International Journal of Remote Sensing volume 36, issue 10, page 2734-2750 ISSN 0143-1161 1366-5901 journal-article 2015 crinformauk https://doi.org/10.1080/01431161.2015.1041619 2024-08-12T04:17:03Z Article in Journal/Newspaper Sea ice Informa International Journal of Remote Sensing 36 10 2734 2750 |
institution |
Open Polar |
collection |
Informa |
op_collection_id |
crinformauk |
language |
English |
format |
Article in Journal/Newspaper |
author |
Su, Hua Wang, Yunpeng Xiao, Jie Yan, Xiao-Hai |
spellingShingle |
Su, Hua Wang, Yunpeng Xiao, Jie Yan, Xiao-Hai Classification of MODIS images combining surface temperature and texture features using the Support Vector Machine method for estimation of the extent of sea ice in the frozen Bohai Bay, China |
author_facet |
Su, Hua Wang, Yunpeng Xiao, Jie Yan, Xiao-Hai |
author_sort |
Su, Hua |
title |
Classification of MODIS images combining surface temperature and texture features using the Support Vector Machine method for estimation of the extent of sea ice in the frozen Bohai Bay, China |
title_short |
Classification of MODIS images combining surface temperature and texture features using the Support Vector Machine method for estimation of the extent of sea ice in the frozen Bohai Bay, China |
title_full |
Classification of MODIS images combining surface temperature and texture features using the Support Vector Machine method for estimation of the extent of sea ice in the frozen Bohai Bay, China |
title_fullStr |
Classification of MODIS images combining surface temperature and texture features using the Support Vector Machine method for estimation of the extent of sea ice in the frozen Bohai Bay, China |
title_full_unstemmed |
Classification of MODIS images combining surface temperature and texture features using the Support Vector Machine method for estimation of the extent of sea ice in the frozen Bohai Bay, China |
title_sort |
classification of modis images combining surface temperature and texture features using the support vector machine method for estimation of the extent of sea ice in the frozen bohai bay, china |
publisher |
Informa UK Limited |
publishDate |
2015 |
url |
http://dx.doi.org/10.1080/01431161.2015.1041619 https://www.tandfonline.com/doi/pdf/10.1080/01431161.2015.1041619 |
genre |
Sea ice |
genre_facet |
Sea ice |
op_source |
International Journal of Remote Sensing volume 36, issue 10, page 2734-2750 ISSN 0143-1161 1366-5901 |
op_doi |
https://doi.org/10.1080/01431161.2015.1041619 |
container_title |
International Journal of Remote Sensing |
container_volume |
36 |
container_issue |
10 |
container_start_page |
2734 |
op_container_end_page |
2750 |
_version_ |
1810476632823037952 |