干旱区生态环境知识资源中心(Arid): Extraction of Yardang Characteristics Using Object-Based Image Analysis and Canny Edge Detection Methods

Arid

DOI	10.3390/rs12040726
	Extraction of Yardang Characteristics Using Object-Based Image Analysis and Canny Edge Detection Methods
	Yuan, Weitao 1,2; Zhang, Wangle 3; Lai, Zhongping 2; Zhang, Jingxiong 4
通讯作者	Lai, Zhongping
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2020
卷号	12 期号:4
英文摘要	Parameters of geomorphological characteristics are critical for research on yardangs. However, methods which are low-cost, accurate, and automatic or semi-automatic for extracting these parameters are limited. We present here semi-automatic techniques for this purpose. They are object-based image analysis (OBIA) and Canny edge detection (CED), using free, very high spatial resolution images from Google Earth. We chose yardang fields in Dunhuang of west China to test the methods. Our results showed that the extractions registered an overall accuracy of 92.26% with a Kappa coefficient of agreement of 0.82 at a segmentation scale of 52 using the OBIA method, and the exaction of yardangs had the highest accuracy at medium segmentation scales (138, 145). Using CED, we resampled the experimental image subset to a series of lower spatial resolutions for eliminating noise. The total length of yardang boundaries showed a logarithmically decreasing (R-2 = 0.904) trend with decreasing spatial resolution, and there was also a linear relationship between yardang median widths and spatial resolutions (R-2 = 0.95). Despite the difficulty of identifying shadows, the CED method achieved an overall accuracy of 89.23% with a kappa coefficient of agreement of 0.72, similar to that of the OBIA method at medium segmentation scale (138).
英文关键词	extracting yardang geomorphological characteristics object-based image analysis (OBIA) Canny edge detection (CED) free very high-resolution image in Google Earth
类型	Article
语种	英语
国家	Peoples R China
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000519564600137
WOS关键词	QAIDAM BASIN ; SEGMENTATION QUALITY ; TERRESTRIAL ANALOG ; FEATURES ; EVOLUTION ; DESERT ; CHINA ; MULTIRESOLUTION ; GEOMORPHOLOGY ; SELECTION
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/315430
作者单位	1.China Univ Geosci, Sch Earth Sci, Wuhan 430074, Peoples R China; 2.Shantou Univ, Guangdong Prov Key Lab Marine Biotechnol, Inst Marine Sci, Shantou 515063, Peoples R China; 3.Changan Univ, Coll Geol Engn & Geomat, Xian 710054, Peoples R China; 4.Wuhan Univ, Sch Geodesy & Geomat, Wuhan 430074, Peoples R China
推荐引用方式 GB/T 7714	Yuan, Weitao,Zhang, Wangle,Lai, Zhongping,et al. Extraction of Yardang Characteristics Using Object-Based Image Analysis and Canny Edge Detection Methods[J],2020,12(4).
APA	Yuan, Weitao,Zhang, Wangle,Lai, Zhongping,&Zhang, Jingxiong.(2020).Extraction of Yardang Characteristics Using Object-Based Image Analysis and Canny Edge Detection Methods.REMOTE SENSING,12(4).
MLA	Yuan, Weitao,et al."Extraction of Yardang Characteristics Using Object-Based Image Analysis and Canny Edge Detection Methods".REMOTE SENSING 12.4(2020).