Image Difference Histogram: a New Tool for Image Analysis Applied to Classification of Urban Settlements
نویسنده
چکیده
Automatic classification of urban settlement from satellite images has various applications such as urban development planning and the gathering of environmental statistics. Abeigne Ella et al. [1] showed that Local Binary Patterns (LBP) features extracted from QuickBird images of the Soweto region in South Africa is superior to other feature extraction methods described in [2],[3], [4], [5], [6]. Following the introduction by Van Wyk et al. of the Difference Histogram for feature extraction in time-series [7], the present paper introduces an extension and generalization of this technique to images. The Image Difference Histogram is introduced and applied to the classification of urban settlement images. The results are compared with those presented in [1].
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