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Automated and reliable 3D city model acquisition is an increasing demand. Automatic road extraction from dense urban areas is a challenging issue due to the high complex image scene. From imagery, t...
Urban density is an important factor for several fields, e.g. urban design, planning and land management. Modern remote sensors deliver ample information for the estimation of specific urban land cl...
The classification of different objects in the urban area using airborne LIDAR point clouds is a challenging problem especially with low density data. This problem is even more complicated if RGB info...
Change detection in urban area is an active topic in remote sensing. However, well-dealt subject in optical remote sensing, this research topic is still at an early stage and needs deeper investigatio...
In this paper, the use of waveform data in urban areas is studied. Full waveform is generally used in non-urban areas, where it can provide better vertical structure description of vegetation compared...
Understanding the vegetation dynamics in urban areas in both quantitative and qualitative aspects is essential to population welfare and also to economic, social and environmental development. However...
The paper presents a comprehensive method for automated extraction and delineation of building outlines in densely built-up areas. A novel approach to outline reconstruction is the use of geocoded bui...
Ground Penetrating Radar (GPR) is an active instrument often used to detect underground utility locations up to a few meters. To perform a three-dimensional reconstruction of position and geometry of ...
Lidar instruments have proven useful for characterizing the structure and dynamics of aerosol layers. We compare here the diurnal, seasonal and vertical variability of urban aerosols as described by ...
In view of the fact that road network detection effect in high-resolution image is not satisfying, an approach for road network detection based on Bayesian Network is put forward in this paper. First,...
This paper presents a generic scheme to analyze urban traffic via vehicle motion indication from airborne laser scanning (ALS) data. The scheme comprises two main steps performed progressively - veh...
3D object extraction is one of the main interests and has lots of applications in photogrammetry and computer vision. In recent years, airborne laser-scanning has been accepted as an effective 3D da...
Automatic change detection particularly in urban areas is the important tools for their management and planning. This paper presents a feature based method to detect changes in urban area using two ...
One of the fundamental steps in the transformation of the LIDAR data into the meaningful objects in urban area involves their segmentation into consistent units through a clustering process. Neverth...
Various multi-echo and Full-waveform (FW) lidar features can be processed. In this paper, multiple classifers are applied to lidar feature selection for urban scene classification. Random fores...

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