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- W2356552150 abstract "Real-time extraction of the artificial surface is important for the management of land resources and the assessment of ecological environment. The object-oriented classification method based on HJ-1 satellite CCD images was used to extract artificial surface information,and Guanzhong Plain,an important commodity grain base located in the middle of Shaanxi Province with intensive human activities,was chosen to test the adaptability of the extraction method. With the support of eCognition software,the image spectrum information,texture,shape index and geographical spatial relation together with other auxiliary information such as DEM,Slope,TM data,sample point data and some characteristic indices were synthesized,and then artificial surface information were extract hierarchically on the basis of the classification algorithm of decision tree. The classification accuracy was 85. 90% and the results indicated that this method was feasible to extract artificial surface information using object-oriented method based on HJ-1 satellite CCD data. Compared with the traditional visual interpretation method,the efficiency of computer automatic classification based on object-oriented technology has been significantly boosted." @default.
- W2356552150 created "2016-06-24" @default.
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- W2356552150 date "2014-01-01" @default.
- W2356552150 modified "2023-09-25" @default.
- W2356552150 title "Extraction of Artificial Surface Based on HJ-1 Satellite CCD Images with Object-Oriented Method——A Case Study in Guanzhong Plain,Shaanxi Province" @default.
- W2356552150 hasPublicationYear "2014" @default.
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