BG
B.G.H. Gorte
Authored
18 records found
Comprehensive comparison of two image-based point clouds from aerial photos with airborne lidar for large-scale mapping
Door detection to envelope reconstruction
The
integration of computer vision and photogrammetry to generate three-dimensional
(3D) information from images has contributed to a wider use of point clouds,
for mapping purposes. Large-scale topographic map production requires 3D data
with high precision and accuracy to repre
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Challenges and opportunities
One stop processing of automatic large-scale base map production using airborne lidar data within gis environment case study: Makassar City, Indonesia
LiDAR data acquisition is recognized as one of the fastest solutions to provide basis data for large-scale topographical base maps worldwide. Automatic LiDAR processing is believed one possible scheme to accelerate the large-scale topographic base map provision by the Geospatial
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One of the main steps in hyperspectral image classification is the selection of bands that provide the best separability among classes. It is usually understood that the selected bands for classification must contain a large amount of information, and the correlation among select
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The paper presents a very straightforward and effective algorithm to convert a space partitioning, made up of polyhedral objects, into a 3D block of voxels, which is fully occupied, i.e. in which every voxel has a value. In addition to walls, floors, etc. there are 'air' voxels,
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Hyperspectral images may be applied to classify objects in a scene. The redundancy in hyperspectral data implies that fewer spectral features might be sufficient for discriminating the objects captured in a scene. The availability of labeled classes of several areas in a scene pa
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Various kinds of urban applications require true orthophotos. True orthophoto generation requires a DSM (Digital Surface Model) to project the photo orthogonally and minimize geometric distortion due to topographic variance. DSMs are often generated from airborne laser scan data.
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In VHR(very high resolution) aerial images, shadows indicating height information are valuable for validating or detecting changes on an existing 3D city model. In the paper, we propose a novel and full automatic approach for shadow detection from VHR images. Instead of automatic
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(Semi)- Automatic facade reconstruction from terrestrial LiDAR point clouds is often affected by both quality of point cloud itself and imperfectness of object recognition algorithms. In this paper, we employ regularities, which exist on façades, to mitigate these problems. For e
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The paper presents a new algorithm to reconstruct elongated objects defined by cross sections and trajectories in gridded threedimensional models represented as voxels. Examples of such objects are the elements of underground infrastructure in urban environments, such as pipes, c
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The paper presents a new algorithm to reconstruct elongated objects defined by cross sections and trajectories in gridded threedimensional models represented as voxels. Examples of such objects are the elements of underground infrastructure in urban environments, such as pipes, c
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Unsupervised feature selection (UFS) is a standard approach to reduce the dimensionality of hyperspectral images (HSIs). The main idea in UFS is to define a similarity metric, and select the features minimizing the metric to reduce the data redundancy. In this paper, we proposed
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There has been a steady increase in applications that rely on crowdsensing to gather data for analysis purposes. Crowdsensing enables the use of dynamic sensors to collect data on static objects of interest. However, using dynamic sensors in this way causes a problem. The focus o
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Natural and man-made disasters lead to challenging situations for the affected communities, where comprehensive and reliable information on the nature, extent, and the consequences of an event are required. Providing timely information, however, is particularly difficult followin
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Natural and man-made disasters lead to challenging situations for the affected communities, where comprehensive and reliable information on the nature, extent, and the consequences of an event are required. Providing timely information, however, is particularly difficult followin
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Contributed
2 records found
Contractors are moving from traditional maintenance to preventive maintenance. To apply preventive maintenance, up-to-date data is required which is unavailable. The goal is to research the applicability of crowdsensing to detect road pavement distresses, and to investigate how t
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Hyperspectral images present detailed spectral information of every pixel in
the images where the spectral signal is sampled in hundreds of narrow and
contiguous spectral channels, usually covering the 400-2500 nm spectral region
where sunlight reflected by the Earth can be measu
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