Title :
Urban land cover classification from multi-sensor images by decision fusion based on weights of evidence model
Author :
LI, Peijun ; Song, Benqin
Author_Institution :
Inst. of Remote Sensing, Peking Univ., Beijing, China
Abstract :
In this study we proposed a decision fusion method based on the weights of evidence model for land cover classification using multisensor data. The proposed method was evaluated in land cover classification over an urban area using Landsat TM and ENVISAT ASAR data. The results showed that the proposed method effectively combined multisensor data in land cover classification and obtained higher classification accuracy than the use of single source data.
Keywords :
decision trees; geophysical signal processing; remote sensing by radar; sensor fusion; signal classification; synthetic aperture radar; terrain mapping; ENVISAT ASAR data; Landsat TM data; decision fusion method; evidence model weights; multisensor data; multisensor images; urban land cover classification; Accuracy; Data models; Earth; Reliability; Remote sensing; Satellites; Support vector machines;
Conference_Titel :
Synthetic Aperture Radar (APSAR), 2011 3rd International Asia-Pacific Conference on
Conference_Location :
Seoul
Print_ISBN :
978-1-4577-1351-4
