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- W2392322481 abstract "Based on the traditional classification methods of coastal zone multi-spectral images,a new method using the LBV data transformation to process multi-spectral images of coastal zone before classified was proposed.LBV data transformation is a new method to process remote sensing images,by which,three basic remote-sensing characteristics of the general radiance level L,the visible-infrared radiation balance B,and the band radiance variation vector(direction and speed) V can be acquired respectively.Experiments for TM multi-spectral images cover Qingdao coastal zone was carried out,contrastively,the color composite of the digital L,B and V images transformed from original TM2,TM3,TM4 and TM5 images contains visually richer contents,more vivid ground features.The results of classification of the color composite using LBV transformation improved the classification accuracy about 3.12% than that of the original TM2,TM3,TM4 images,which showed that LBV transformation has good potential in coastal zone multi-spectral images classification." @default.
- W2392322481 created "2016-06-24" @default.
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- W2392322481 date "2010-01-01" @default.
- W2392322481 modified "2023-10-03" @default.
- W2392322481 title "Research and Evaluation of Coastal Zone Multi-spectral Image Classification Based on LBV Transformation" @default.
- W2392322481 hasPublicationYear "2010" @default.
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