Yellow River Estuary Typical Wetlands Classification Based on Hyperspectral Derivative Transformation

doi:10.1117/12.2054485

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

	Yellow River Estuary Typical Wetlands Classification Based on Hyperspectral Derivative Transformation
	Wang Xiaopeng 1,2,3; Zhang Jie 1,3; Ren Guangbo 3; Ma Yi 3; OjedaCastaneda, J ; Han, S ; Jia, P ; Fang, J ; Fan, D ; Qian, L
	2014
关键词	Hyperspectral CHRIS Derivative Transformation Supervised Classification Coastal Wetland
卷号	9142
DOI	10.1117/12.2054485
英文摘要	The first-order derivative transformation was applied on a PROBA CHRIS hyperspectral remote sensing image of the Yellow River Estuary coastal wetland. Five classic supervised classification methods were employed on the images before and after the derivative transformation, and then those classification results were compared through manual interpretation and quantified analysis. The aim of this research is to evaluate the effects on the classification ability of supervised classification methods made by the derivative transformation. Experimental results show that, the derivative transformation is capable of improving the classification ability of certain supervised classification algorisms in coastal wetlands classification using hyperspectral images. Especially, for the Maximum Likelihood and Support Vector Machine methods, with the best classification accuracy, derivative transformation could effectively help distinguish vegetation and clear water wetlands.
会议录	SELECTED PAPERS FROM CONFERENCES OF THE PHOTOELECTRONIC TECHNOLOGY COMMITTEE OF THE CHINESE SOCIETY OF ASTRONAUTICS: OPTICAL IMAGING, REMOTE SENSING, AND LASER-MATTER INTERACTION 2013
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
资助项目	National Science Foundation of China[41206172]
WOS研究方向	Engineering ; Remote Sensing ; Optics ; Physics
WOS记录号	WOS:000334347800059
内容类型	会议论文
源URL	[http://ir.fio.com.cn/handle/2SI8HI0U/5145]
专题	业务部门_海洋物理与遥感研究室
作者单位	1.Dalian Maritime Univ, Linghai Rd,High Tech Pk, Dalian 116026, Peoples R China; 2.Qingdao Univ, Qingdao 266071, Peoples R China; 3.SOA, First Inst Oceanog, Qingdao 266061, Peoples R China
推荐引用方式 GB/T 7714	Wang Xiaopeng,Zhang Jie,Ren Guangbo,et al. Yellow River Estuary Typical Wetlands Classification Based on Hyperspectral Derivative Transformation[C]. 见:.