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The current methods of object segmentation and extraction and classification of aerial LiDAR data is manual and tedious task. This work proposes a technique for object segmentation out of LiDAR data. ...
We propose an image processing workflow to extract rectangular building footprints using georeferenced stereo-imagery and a derivative digital surface model (DSM) product. The approach applies a line ...
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...
Extraction of geospatial data from digital images is one of the most complex and challenging tasks faced by computer vision and photogrammetry communities. Geospatial data and buildings in particular ...
3-D Building modeling;object related method;object representation;bottom-up and top-down approach
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 to automatic building extraction from large-scale aerial images. It is based on the integration of multiple information, knowledge and appropriate methods, and hierarch...
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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