High resolution remote sensing classification of coral reef substrate, base on SVM - Taken XiSha Zhaoshu island as an example

doi:10.1109/IGARSS.2016.7729191

CORC > 自然资源部第一海洋研究所 > 自然资源部第一海洋研究所 > 业务部门 > 海洋物理与遥感研究室

	High resolution remote sensing classification of coral reef substrate, base on SVM - Taken XiSha Zhaoshu island as an example
	Yang, Guoqiang 1,2; Ma, Yi 2; Ren, Guangbo 2; Bao, Yuhai 1
	2016-11-01
会议日期	7 10, 2016 - 7 15, 2016
会议地点	Beijing, China
卷号	2016-November
期号	2016-November
DOI	10.1109/IGARSS.2016.7729191
页码	759-762
英文摘要	Coral resources in global are facing a huge threat under climate change and increasing human activities. In this paper, at first, combined with Support Vector Machine (SVM), WorldView-3 satellite data (October 10, 2014) with high spatial resolution (1.2 m) and eight spectral bands are used to research classification of Zhao Shu island coral reef substrate. Coral reef, coral bleaching, coral sand and seawater are identified. Then training and checking samples are built artificially and label types from in situ data and finished classification result accuracy test. The results show that the total classification accuracy and Kappa coefficient are 95.28% and 0.90 respectively. These results demonstrate that high resolution images can provide more detailed information and are suitable to monitor the health of coral reefs. High resolution remote sensing classification results of coral reef can provide the important information for environment protection. © 2016 IEEE.
会议录	International Geoscience and Remote Sensing Symposium (IGARSS)
会议录出版者	Institute of Electrical and Electronics Engineers Inc.
语种	英语
内容类型	会议论文
源URL	[http://ir.fio.com.cn:8080/handle/2SI8HI0U/7159]
专题	业务部门_海洋物理与遥感研究室
作者单位	1.College of Geographical Science, Inner Mongolia Normal University, Hohhot; 010022, China; 2.First Institute of Oceanography, SOA, Qingdao; 266061, China
推荐引用方式 GB/T 7714	Yang, Guoqiang,Ma, Yi,Ren, Guangbo,et al. High resolution remote sensing classification of coral reef substrate, base on SVM - Taken XiSha Zhaoshu island as an example[C]. 见:. Beijing, China. 7 10, 2016 - 7 15, 2016.