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Airborne laser scanning systems generate 3-dimensional point clouds of high density and irregular spacing. These data consist of multiple returns coming from terrain, buildings, and vegetation. The ma...
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...
Recent availability of high-resolution satellite images provides a new data source for geospatial data acquisition. This high-resolution data source has made possible to extract man-made features such...
Laser scanning is a new technology for obtaining Digital Surface Models (DSM) of the earth surface. It is fast method for sampling the earth surface with a high density and high point accuracy. In thi...
This paper presents an approach for building extraction and reconstruction from high quality terrain surface, such as LIDAR data generated surface. The approach takes terrain surface data as input and...
This paper presents an approach to automatic building extraction from large-scale aerial images. It is based on the integration of multiple information, knowledge and appropriate methods, and hierarch...
Effective building detection and roof reconstruction has an influential demand over the remote sensing research community. In this paper, we present a new automatic LiDAR point cloud segmentation meth...
This paper presents a new method for segmentation of LIDAR point cloud data for automatic building extraction. Using the ground height from a DEM (Digital Elevation Model), the non-ground points (main...
Automatic building extraction in urban areas has become an intensive research as it contributes to many applications. High-resolution satellite (HRS) imagery is an important data source. However, it...

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