干旱区生态环境知识资源中心(Arid): 面向对象的天然绿洲与人工绿洲区分以民勤县湖区绿洲为例

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	面向对象的天然绿洲与人工绿洲区分以民勤县湖区绿洲为例
其他题名	Object-oriented Natural and Artificial Oasis Distinguishing in Landsat Imagery: Taking Minqin Oasis as an Example
	李汝嫣; 颉耀文; 姜转芳
来源期刊	遥感技术与应用
ISSN	1004-0323
出版年	2020
卷号	35 期号:4 页码:873-881
中文摘要	以地处河西走廊东端、石羊河下游的民勤县湖区绿洲为例,以Landsat 8 OLI影像为数据源,从天然绿洲和人工绿洲的基本概念出发,在影像数据预处理、多尺度分割的基础上,综合考虑光谱、纹理、形状、上下文等信息,引入NDVI、最大化差异、紧致度、形状指数和空间邻接关系等多个特征,构建规则集进行天然绿洲和人工绿洲的区分,并将区分结果与基于最大似然法监督分类的绿洲区分结果进行比较分析。结果表明:使用面向对象的影像分析方法区分天然绿洲和人工绿洲的总体精度达到了91.75%,Kappa系数为0.65;较之面向像元的最大似然法监督分类结果,总体精度提高了10.40%,Kappa系数提高了0.13,其中人工绿洲条件Kappa系数提高了0.19,天然绿洲条件Kappa系数提高了0.30。面向对象的影像分析方法能够在一定程度上克服单一光谱特征分类方法的局限性,避免异物同谱和同物异谱现象带来的混淆,提高天然绿洲和人工绿洲区分的精度。
英文摘要	Taking Minqin Oasis in the downstream area of the Shiyang River Basin which is located in the east of Hexi Corridor as an example,the Landsat 8 OLI image was chosen as the data source. Under the consideration of the basic concept of the artificial oasis and natural oasis in this paper,combining with the information of the spectrum,texture,shape and context basing on the image data preprocessing and multi-scale segmentation, we introduce a series of indexes such as NDVI、maximum difference,compactness,shape index,the space adjacency relation and so on to construct a rule set for distinguish between natural oasis and artificial oasis. The obtained results were further compared with the results based on the maximum likelihood method. As a result,the total accuracy of using the object-oriented image analysis method to distinguishing between natural oasis and artificial oasis is 91.75%,and the Kappa coefficient is 0.65 by using the rule set established in this paper. Compared with the results based on the maximum likelihood method,the overall accuracy is improved by 10.40% and the Kappa coefficient is 0.13. The Kappa coefficient of the artificial oasis is increased by 0.19,and the Kappa coefficient of the natural oasis condition is increased by 0.30. The results showed that the object-oriented image analysis method can overcome the limitations of the classification method that only using spectral feature to a certain extent,avoid the confusion caused by the phenomenon ofsame object with different spectrumsand same spectrum with different objects,and increase the accuracy of distinguishing between the artificial oasis and natural oasis.
中文关键词	最大化差异 ; 紧致度 ; 形状指数 ; 规则集 ; 绿洲区分
英文关键词	NDVI NDVI Maximum difference Compactness Shape index Rule set Oasis distinguish
类型	Article
语种	中文
收录类别	CSCD
WOS研究方向	Geography
CSCD记录号	CSCD:6816412
来源机构	兰州大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/336965
作者单位	李汝嫣, 兰州大学资源环境学院, 兰州, 甘肃 730000, 中国.; 姜转芳, 兰州大学资源环境学院, 兰州, 甘肃 730000, 中国.; 颉耀文, 兰州大学资源环境学院;;兰州大学, ;;西部环境教育部重点实验室, 兰州;;兰州, 甘肃;;甘肃 730000;;730000, 中国.
推荐引用方式 GB/T 7714	李汝嫣,颉耀文,姜转芳. 面向对象的天然绿洲与人工绿洲区分以民勤县湖区绿洲为例[J]. 兰州大学,2020,35(4):873-881.
APA	李汝嫣,颉耀文,&姜转芳.(2020).面向对象的天然绿洲与人工绿洲区分以民勤县湖区绿洲为例.遥感技术与应用,35(4),873-881.
MLA	李汝嫣,et al."面向对象的天然绿洲与人工绿洲区分以民勤县湖区绿洲为例".遥感技术与应用 35.4(2020):873-881.