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With the increase of resolution, remote sensing images have the characteristics of increased information load, increased noise, more complex feature geometry and texture information, which makes the e...
Building extraction in aerial orthophotos is crucial for various applications. Currently, deep learning has been shown to be successful in addressing building extraction with high accuracy and high ro...
Building detection and footprint extraction are highly demanded for many remote sensing applications. Though most previous works have shown promising results, the automatic extraction of building foot...
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 ...
For the past dozen years, data which enable the use of Digital Terrain Model as well as Digital Surface Model have been widely used. One of the modern techniques of gaining information about terrain i...
This paper investigates the outcome of building extraction techniques from optical aerial and spaceborne high resolution data when applying Hough Transformation procedures. The proposed workflow consi...
The principal technical problem of 3D building semi-automatic acquisition from remote-sensing images was discussed by using wavelet analysis, combining digital photogrammetry and computer vision. A se...
Various governmental organizations need accurate, correct and up to date information for optimization of resource and service management. In this issue, geospatial information is very important. Geosp...
Based on the high-resolution image data in urban areas, the paper investigate the key technologies in building detection and reconstruction, particularly focused on the Building Model Driving (BMD) al...
Building extraction and delineation is one of the most salient problems in cartographic features extraction. This paper presents a novel framework for reliable and accurate building extraction from hi...
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...
State-of-the-art airborne SAR sensors provide spatial resolution on the order of a decimetre. In such data, many features of urban objects can be identified, which were beyond the scope of radar remot...
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 ...

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