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The availability of very high spatial resolution images in remote sensing brings the texture segmentation of images to a higher level of complexity. Such images have so many details that the classic...
In most Mobile Laser Scanning (MLS) applications, filtering is a necessary step. In this paper, a segmentation-based filtering method is proposed for MLS point cloud, where a segment rather than an in...
Oblique photography technology as an excellent method for 3-D city model construction has brought itself to large-scale recognition and undeniable high social status. Tilt and vertical images with the...
Image segmentation is the foundation of further object-oriented image analysis, understanding and recognition. It is one of the key technologies in high resolution remote sensing applications. In this...
A real-time and reliable automatic video segmentation is one of the outstanding problems in Computer Vision with large applications to compression, transmission and motion analysis. In this paper, we...
Segmentation, i.e. the labelling of objects in image data, is a crucial step in many medical imaging processing tasks, e.g. operation planning, radio therapy or diagnostics. Seeded region growing is ...
Methods of image segmentation become more and more important in the field of remote sensing image analysis – in particular due to the increasing spatial resolution of imagery. The most important fact...
We present an investigation on the use of Tensor Voting for categorizing LIDAR data into outliers, line elements (e.g. high-voltage power lines), surface patches (e.g. roofs) and volumetric elements ...
Synthetic Aperture Radar (SAR) images are usually corrupted by a signal-dependent non-additive noise called speckle. This makes difficult the segmentation, object identification, and feat...
The paper focuses on a particular aspect of feature extraction from LiDAR data. To support transportation flow data estimation,points reflected back from vehicles should be extracted from a LiDAR clou...
Designing an automatic DEM segmentation method that is successful under all circumstances can hardly be envisaged. To facilitate the segmentation process, a user-friendly, interactive software enviro...
In this work the use of statistical techniques will be approached for segmentation of SAR images, with the purpose of ship detection, being used RADARSAT images of the Brazilian coast. As described in...
Images are the most important data sources that used for problems in photogrammetry such as automatic object extraction, automatic orientation and so on. In the most problems, it needs to segment an i...
This paper proposed a multi-scale segmentation method for remote sensing image based on mathematical morphology. In mathematical morphological operations, opening transform can extract lighter connect...
In recent years airborne laser scanning has been proven to be a helpful tool for remote sensing forestry applications. As laser scanning systems now provide very high point density (> 10 points=m2 )...

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