论文信息 - Urban Land-Use Multi-Scale Textural Analysis

Urban Land-Use Multi-Scale Textural Analysis

Urban areas are composed of numerous materials arranged by humans in complex ways. A simple building may appear as a complex structure with many architectural details surrounded by gardens, trees, buildings, roads, social and technical infrastructure and many temporary objects, such as cars, buses or daily markets. In this paper, we analyze the effectiveness of 8 textural features (resulting from the Grey Level Co-occurrence Matrix) derived from a 50 cm WorldVieW-1 image of Washington D.C. (U.S.A.). The information extracted from the panchromatic and textural features are fused and processed by a Multi-Layer Perceptron (MPL) neural network producing a land-use map with accuracy above 0.90 in term of K-coefficient.

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