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- W2393886404 abstract "The THEOS(Thailand earth observation satellite) image quality was evaluated through the spectral and texture quality for imaging and the capability for identifying thematic land-cover types of three methods. Firstly, the mean of pixel values were used to assess the spectral discrimination. Secondly, the ASM(Angular second moment), correlation, contrast and entropy, derived from the GLCM(Grey level co-occurrence matrix), were used to represent the texture features of imagery. Finally, the object-oriented classification method was used to identify the thematic land-cover types. The analysis results were as follow.(1) The mean grey values of cropland, built-up and forestland were 121.14, 73.70 and 137.62, respectively, which indicated that THEOS imagery has good capability in identification of different land cover types;(2) The contrast and entropy(their means were 18.93 and 2.88, respectively) were better to show the texture information;(3) The results were good for homogenous land covers, but poor for the regions with the mixed types of land covers. This study provides a good reference for a wide utilization of THEOS in China." @default.
- W2393886404 created "2016-06-24" @default.
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- W2393886404 date "2015-01-01" @default.
- W2393886404 modified "2023-09-23" @default.
- W2393886404 title "Quality evaluation of the THEOS satellite imagery using textural and spectral features" @default.
- W2393886404 hasPublicationYear "2015" @default.
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