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Updated road databases are required for many purposes such as urban planning, disaster management, car navigation, route planning, traffic management and emergency handling. In the last decade, the im...
The very high resolution multispectral satellites imagery, such as IKONOS and Quickbird satellite provides a level of detail compatible with urban mapping, it collect images which are a need to classi...
This paper describes a region-based technique for fusion of high-resolution images. In this technique, mean shift segmentation is adopted to extract the features for high resolution image as a substit...
In Beijing, the earth surface changes has reached 5 % each year, and artificial detection with high resolution images has been applied to peccancy building monitoring and road change detection. The ma...
Nowadays, the availability of high-resolution images has increased the number of researches on urban land use and land cover classification. Most of them have used object oriented image analysis with ...
The problem of road segmentation in high resolution images is addressed in this paper. We present an extension of the active contour model that includes a-priori knowledge about the width of the roads...
According to the deficiency of the process in Land Use Status quo Maps updating, this paper puts forward to a way to update The Land Use Status quo Maps based on decision tree, utilizing The Land Use ...
Shadow effects have drawn much attention by researchers with increasing use of high-resolution remote sensing images of urban areas. For correction or compensation to pixels that falling in shadow are...
Automatic recognition and reconstruction of buildings from aerial and space images is of great practical interest for many of applications such as cartography and photo-interpretation. Building detect...
3D MODELS FOR HIGH RESOLUTION IMAGES: EXAMPLES WITH QUICKBIRD, IKONOS AND EROS.
This paper aims to present the junction recognition level of RECoiL, a system for Road Extraction from High Resolution Images by Composite Learning. By modelling junctions as specific junction types a...

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