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

Bibliographic Details
Published in:International Journal of Remote Sensing
Main Authors: Su, Hua, Wang, Yunpeng, Xiao, Jie, Yan, Xiao-Hai
Format: Report
Language:English
Published: 2015
Subjects:
Sea ice
Online Access:http://ir.gig.ac.cn:8080/handle/344008/31677
https://doi.org/10.1080/01431161.2015.1041619
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spelling ftchacadscgigcas:oai:ir.gig.ac.cn:344008/31677 2023-05-15T18:17:15+02:00 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://ir.gig.ac.cn:8080/handle/344008/31677 https://doi.org/10.1080/01431161.2015.1041619 英语 eng INTERNATIONAL JOURNAL OF REMOTE SENSING Kong, DX,Xu, JF,Yin, JW,et al. 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[J]. International Journal of Remote Sensing,2015,36(10):2734-2750. http://ir.gig.ac.cn:8080/handle/344008/31677 doi:10.1080/01431161.2015.1041619 null 期刊论文 2015 ftchacadscgigcas https://doi.org/10.1080/01431161.2015.1041619 2022-03-27T20:31:42Z Report Sea ice Guangzhou Institute of Geochemistry: GIG OpenIR (Chinese Academy of Sciences) International Journal of Remote Sensing 36 10 2734 2750
institution Open Polar
collection Guangzhou Institute of Geochemistry: GIG OpenIR (Chinese Academy of Sciences)
op_collection_id ftchacadscgigcas
language English
format Report
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
publishDate 2015
url http://ir.gig.ac.cn:8080/handle/344008/31677
https://doi.org/10.1080/01431161.2015.1041619
genre Sea ice
genre_facet Sea ice
op_relation INTERNATIONAL JOURNAL OF REMOTE SENSING
Kong, DX,Xu, JF,Yin, JW,et al. 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[J]. International Journal of Remote Sensing,2015,36(10):2734-2750.
http://ir.gig.ac.cn:8080/handle/344008/31677
doi:10.1080/01431161.2015.1041619
op_rights null
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_ 1766191360180748288

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