Hyper-spectral remote sensing water depth retrieval based on spectral difference factors

doi:10.1117/12.2505649

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

	Hyper-spectral remote sensing water depth retrieval based on spectral difference factors
	Tian Zhen 1; Ma Yi 2; Zhu Jian Hua 1
	2018
会议日期	May 22, 2018 - May 24, 2018
会议地点	Beijing, China
关键词	LiDAR bathymetry Hyperion Data water depth retrieval Spectral difference factors
卷号	10846
期号	10846
DOI	10.1117/12.2505649
英文摘要	Many studies have indicated that spectrum is mainly decided by substratum and water depth in shallow water, so spectrum above one kind of substrate is only decided by water. According to this idea we studied the technology of substrate classification, as well as analyzed the impacts of various water-depth extraction factors on the inversion accuracy. The following results have been obtained. (1) SVM has the highest classification accuracy, whose Kappa coefficient was 0.86 and overall accuracy was 92.34%, which is higher than that of neural network and maximum likelihood. (2) Correlation coefficient between factors based on spectral shape and water depth were over 70%, which is higher than that based on spectral amplitude. (3) SA and SGA are all have an exponential correlation with water depth and their inversion accuracy was almost the same. The mean relative error and mean absolute error for two factors were 9.9%, 0.61m and 7.3%, 0.74m, respectively. But they have different performance in various substrate area and depth.
会议录	OPTICAL SENSING AND IMAGING TECHNOLOGIES AND APPLICATIONS
会议录出版者	SPIE-INT SOC OPTICAL ENGINEERING
会议录出版地	1000 20TH ST, PO BOX 10, BELLINGHAM, WA 98227-0010 USA
语种	英语
ISSN号	0277786X
WOS研究方向	Optics ; Imaging Science & Photographic Technology
WOS记录号	WOS:000455303600107
内容类型	会议论文
源URL	[http://ir.fio.com.cn:8080/handle/2SI8HI0U/10992]
专题	业务部门_海洋物理与遥感研究室
通讯作者	Tian Zhen
作者单位	1.Natl Ocean Technol Ctr, 219 Jieyuanxi Rd, Tianjin, Peoples R China 2.SOA, Inst Oceanog 1, 219 Xianxialing Rd, Qingdao, Peoples R China
推荐引用方式 GB/T 7714	Tian Zhen,Ma Yi,Zhu Jian Hua. Hyper-spectral remote sensing water depth retrieval based on spectral difference factors[C]. 见:. Beijing, China. May 22, 2018 - May 24, 2018.