An Evaluation of Several Pansharpening Methods for Mapping Quasi-circular Vegetation Patches Using GF-2 Imagery
Liu,Qingsheng
刊名IOP Conference Series: Materials Science and Engineering
2020-03-01
卷号790期号:1
ISSN号1757-8981
DOI10.1088/1757-899X/790/1/012104
英文摘要Abstract It is important to identify the quasi-circular vegetation patches (QVPs), which will help understanding the local ecosystem structure, function, evolution, and maintenance, and is beneficial to make a vegetation restoration in the Yellow River Delta, China. The fused imagery with high spectral and spatial resolution are most appropriate data for mapping the QVPs. This study compared the widely used pansharpening approaches such as the modified intensity-hue-saturation, Gram-Schmidt, colour spectral sharpening, and principal component analysis (PC) approach for mapping the QVPs using the tasselled cap brightness and greenness components of one scene of the spring GF-2 imagery with the decision tree classifier. Overall, the PC method produced a slightly good detection result of the QVPs over the other three pansharpening methods. However, the detection accuracy was still low (F measure = 56.8%). It could be improved using multitemporal images and patch splitting techniques in the future.
语种英语
出版者IOP Publishing
WOS记录号IOP:1757-8981-790-1-012104
内容类型期刊论文
源URL[http://ir.igsnrr.ac.cn/handle/311030/159800]  
专题中国科学院地理科学与资源研究所
作者单位State Key Lab. of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing China
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GB/T 7714
Liu,Qingsheng. An Evaluation of Several Pansharpening Methods for Mapping Quasi-circular Vegetation Patches Using GF-2 Imagery[J]. IOP Conference Series: Materials Science and Engineering,2020,790(1).
APA Liu,Qingsheng.(2020).An Evaluation of Several Pansharpening Methods for Mapping Quasi-circular Vegetation Patches Using GF-2 Imagery.IOP Conference Series: Materials Science and Engineering,790(1).
MLA Liu,Qingsheng."An Evaluation of Several Pansharpening Methods for Mapping Quasi-circular Vegetation Patches Using GF-2 Imagery".IOP Conference Series: Materials Science and Engineering 790.1(2020).
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