Automatic Building Extraction from Satellite Images using Artificial Neural Networks
نویسندگان
چکیده
منابع مشابه
Automatic Extraction of Building Features from High Resolution Satellite Images Using Artificial Neural Networks
Automatic building extraction remains an open research area in digital photogrammetry. While many algorithms have been proposed for building extraction, none of them solve the problem completely. This paper proposes a system for increasing the degree of automation in extraction of building features with different rooftops from high resolution Multispectral satellite images (e.g., IKONOS and Qui...
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A method for detecting buildings from satellite/aerial images is proposed in this paper. The aim is to extract rectilinear buildings by using hypothesis. Hypothesis generation is accomplished by using edge detection and line generation methods. Hypothesis verification is carried out by using information obtained both from the color segmentation of HSV representation of the image. Satellite imag...
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An approach was developed for automatic building extraction from high resolution stereo satellite images. The approach utilizes the spectral properties of the pan-sharpened multispectral bands and the elevation model generated from the stereo panchromatic bands. First, the pan-sharpened multispectral bands are classified using the Maximum Likelihood Classifier (MLC) to separate the buildings fr...
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A method for automatic building extraction from high resolution satellite image is given. First, the image is segmented by using the split and merge segmentation. Then the segmented image is filtered by applying different filters. After filtering the output raster image is converted into vector image and then the buildings are extracted on the basis of area from the vector image. Finally, the c...
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ژورنال
عنوان ژورنال: Procedia Engineering
سال: 2012
ISSN: 1877-7058
DOI: 10.1016/j.proeng.2012.10.097