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In order to understand the mechanism of subsidence and help reducing damage, researchers has been observed the line-of-sight subsidence on the Noksan industrial complex using SAR Interferometry(InSAR)...
In this paper, a new method for estimation of vertical leaf area density (LAD) profile of tree canopy using portable scanning lidar is proposed. In this method, which we refer to as the voxel-based ...
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...
LIDAR (Light Detection And Ranging) is a mature remote sensing technology which can provide accurate elevation data for both topographic surfaces and above-ground objects. Derivation of accurate digit...
In forestry applications, the great challenge is to automatically extract as much information as possible on forest structure, the vertical and horizontal distribution of vegetation, the delineation o...
This paper evaluates the quality of SRTM3 data for alpine and plateau areas in Northwestern (NW) China against DEM data extracted from topographic maps. These SRTM data were obtained from both the ESR...
Forest canopy height is an important input for ecosystem and highly correlated with aboveground biomass at the landscape scale. In this paper, we make efforts to extracte the maximum canopy height usi...
Purpose: This is a presentation of same case studies conducted by our survey lab on some archaeological monuments. The main objective is to underline the general rules that guide 3D digital survey ope...
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...
The Dallas-Fort Worth area becomes first in the nation to host this next generation of small, near-surface, fine-scale, rapidly updating weather radar developed by researchers at the Center for Collab...
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 the last decade, airborne laser scanning (ALS) systems have become an alternative source for the acquisition of altimeter data. Compared to high resolution orthoimages, one of the main advantages ...
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...

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