• ISSN 1004-0323     CN 62-1099/TP
• 联合主办：中国科学院遥感联合中心
• 中国科学院兰州文献情报中心
• 中国科学院国家空间科学中心
 遥感技术与应用  2020, Vol. 35 Issue (4): 873-881    DOI: 10.11873/j.issn.1004-0323.2020.4.0873
 甘肃遥感学会专栏

1.兰州大学资源环境学院，甘肃 兰州 730000
2.兰州大学西部环境教育部重点实验室，甘肃 兰州 730000
Object-oriented Natural and Artificial Oasis Distinguishing in Landsat Imagery: Taking Minqin Oasis as an Example
Ruyan Li1(),Yaowen Xie1,2(),Zhuanfang Jiang1
1.The collage of Earth and Environment, Lanzhou University, Lanzhou 730000, China
2.Key Laboratory of Western China's Environmental System (Ministry of Education), Lanzhou University, Lanzhou 730000, China
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Abstract:

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 of “same object with different spectrums” and “same spectrum with different objects”, and increase the accuracy of distinguishing between the artificial oasis and natural oasis.

Key words: NDVI    Maximum difference    Compactness    Shape index    Rule set    Oasis distinguish

 ZTFLH: K90-06