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Automatic mapping aquaculture in coastal zone from TM imagery with OBIA approach
Zhang, Tao(张涛); Li, Qin; Yang, Xiaomei; Zhou, Chenghu; Su, Fenzhen
Source Publication2010 18th International Conference on Geoinformatics, Geoinformatics 2010 ; 2010 18th International Conference on Geoinformatics, Geoinformatics 2010 ; 2010 18th International Conference on Geoinformatics, Geoinformatics 2010 ; 2010 18th International Conference on Geoinformatics, Geoinformatics 2010
2010
Source Publication2010 18th International Conference on Geoinformatics, Geoinformatics 2010 ; 2010 18th International Conference on Geoinformatics, Geoinformatics 2010 ; 2010 18th International Conference on Geoinformatics, Geoinformatics 2010 ; 2010 18th International Conference on Geoinformatics, Geoinformatics 2010
Corresponding AuthorZhang, Tao(张涛)
Conference DateJune 18, 2010 - June 20, 2010
Conference PlaceBeijing, China
Publication Place445 Hoes Lane - P.O.Box 1331, Piscataway, NJ 08855-1331, United States
PublisherIEEE Computer Society
Funding OrganizationIEEE GRSS; The Geographical Society of China
AbstractAquaculture area monitoring is of great importance for coastal zone sustainable management and planning. This paper focuses on the development and assessment of an automatic approach for aquaculture mapping in coastal zone from TM imagery. The contribution mainly consists of three aspects: first, utilizes the Multi-scale segmentation/object relationship modeling (MSS/ORM) strategy on the object based image analysis (OBIA) of TM imagery; second, evaluates the effectiveness GLCM homogeneity texture feature on pond aquaculture area information extraction; third, compares the analysis results from three different approaches, namely pixelbased maximum likelihood classifier (MLC), One-step supervised OBIA with stand nearest neighbor (SNN) and MSS/ORM OBIA strategy. The final result shows that the MSS/ORM OBIA approach greatly improves the classification accuracy and has good potential for automatic pond aquaculture land mapping in coastal zone from TM imagery.
KeywordCoastal Zones Feature Extraction Fish Ponds Image Analysis Lakes Mapping Maximum Likelihood Estimation Planning
Indexed ByEI
Language英语
Document Type会议论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/21934
Collection研究生部
Corresponding AuthorZhang, Tao(张涛)
Recommended Citation
GB/T 7714
Zhang, Tao,Li, Qin,Yang, Xiaomei,et al. Automatic mapping aquaculture in coastal zone from TM imagery with OBIA approach[C]. 445 Hoes Lane - P.O.Box 1331, Piscataway, NJ 08855-1331, United States:IEEE Computer Society,2010.
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