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In times of higher market prices of fossil fuels and to meet the increasingly environmental and economic threads of climate change renewable energy must play a major role for global energy supply. Th...
Digital terrain model (DTM) is one of the important input parameters in urban flood application. This is because it influences the flow direction, flow velocity, flood extend and flood depth. LiDAR ...
LIDAR is a powerful remote sensing technology for acquisition of 3D information from terrain surface. Algorithms used for LIDAR data in urban area are used mostly to deal with the 3D points cloud an...
The research in the detection and feature extraction of typical objects in urban areas has intensified. In existing detection technologies, it has been shown that the LIDAR technique is very promising...
Based on the character of Lidar data,this paper presents a fusion arithmetic to abstract DEM,and presents a flow to get building data from the object data. Firstly, this paper preprocesses the range i...
Currently available laser scanners are capable of performing hundreds of thousands of range measurements per second at a range resolution of a few centimeters. Despite that increasing performance, up ...
In contrast to conventional airborne multi-echo laser scanner systems, full-waveform (FW) lidar systems are able to record the entire emitted and backscattered signal of each laser pulse. Instead of c...
In 2005, the main commission of the technical services of the city of Geneva launched a study to evaluate which users would potentially be interested to integrate the third dimension in the available ...
In its report "State of the World Cities 2006/07", the United Nations states that the number of urban area inhabitants is expected to rise to almost 5 billion by 2030, constituting roughly 62% of the ...
Almost two thirds of the world’s population will live in cities by 2030. Thus, human settlements typify the most dynamic regions on earth. To cope with this development urban planning and management...
Urban forests are important as valuable green resources to give moisture and tranquillity of mind in our living, requiring an efficient control of forest increase/decrease and growth rate. In this s...
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...
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...
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...

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