关键词: D-S证据理论, 遥感, 图像分类, 多源信息融合

Abstract: A new classification and fusion method for multi-source of remote sensing images was put forward based on the D-S evidence theory. Select the interesting region of class by experience and obtain basic probability assignment function by extracting feature at first, then combine multi-source image to be grouped with Dempster's orthogonal rule to get the result of classification. Experiments show that the proposed method is superior to the K-mean. The uncertainty in classification is effectively decreased, as well as the classification accuracy is improved.

Key words: D-S evidence theory, remote sensing, image classification, multisource information fusion