A Fuzzy Model for Road Identification on Satellite Images
نویسنده
چکیده
Automatic extraction of objects from aerial or satellite images have made significant progress in recent years. This paper presents an experimental model based on fuzzy logic system for identification of roads in SPOT sensor panchromatic images in Iran. Also the proposed model can be used for images such IKONOS. The method consists of three steps: feature extraction, fuzzy modeling, and mathematical morphology. In first step, a window with size 5x5 convolved over the image to calculate features Mean, Standard deviation, Skewness, and Kurtosis. In fuzzy modeling step, the roads are identified base on converted features to specific fuzzy sets. The linguistic variables are Mean (M), Standard deviation (Sd), Skewness (S), and Kurtosis (K) with trapezoid and triangle membership functions. The skeleton of identified roads is extracted by mathematical morphology in next step. The test areas were samples of SPOT panchromatic images from Iran.
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