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- W2382625548 abstract "Taking oasis in Shanshan area as research target,remote sensing images of rooms for drying raisin were analyzed in spectrum and texture,information about the rooms for trying raisins was extracted by secondary classification method during raisin processing.Result showed that the spectral characteristics of drying rooms were composed of hanged roof and shadow,and the texture feature was enhanced by the shadow;plaques of raisin drying rooms were 701 pieces together,which covered 3 120hm2,the patch area ranged from 338.76 m2 to 178hm2,and the average area was 4.34hm2;single buildings were 18 819 with building area of 261hm2.Verification indicated that the first classification accuracy was 84.06% with the Kappa coefficient 0.80,and the secondary classification accuracy was88.66% with the Kappa coefficient 0.84." @default.
- W2382625548 created "2016-06-24" @default.
- W2382625548 creator A5061487829 @default.
- W2382625548 date "2015-01-01" @default.
- W2382625548 modified "2023-09-24" @default.
- W2382625548 title "Data Mining and Retrieval of Remote Sensing Information in Raisin Room Based on Secondary Classification" @default.
- W2382625548 hasPublicationYear "2015" @default.
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