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The purpose of this project is the flood disaster prevention. Recently it has been happened frequent floods in the small and middle size rivers caused of the local heavy rainfalls in Japan. The Japane...
Urban areas are complicated due to the mix of man-made features and natural features. A higher level of structural information plays an important role in land cover/use classification of urban areas. ...
In this paper a strategy for 3D reconstruction of building roofs from airborne laser scanning and aerial images is discussed. In order to keep it as general as possible, no predefined primitives or gr...
A whole procedure of fully automatic 3D single tree modelling based on LIDAR point cloud is introduced in the paper. The evaluation of the procedure is then delivered by verifying the modelling result...
The purpose of this study is to categorize how different surface model resolutions impact the estimation of trees and forest stands parameters: number of recognized trees, crown area, treetop location...
The use of static terrestrial laser scanning for the 3D data capturing of smaller scenes as well as airborne laser scanning from helicopters and fixed wing aircraft for data collection of large areas...
Over the last decade, LIDAR techniques have replaced traditional photogrammetric techniques in many applications because of their speed in point cloud generation. However, these laser scanning techni...
In this paper, an experiment system is developed to settle the problem about how to mapping a digital image onto 3D model from LIDAR data. Firstly, it chooses the corresponding points between point c...
A new method for accurate registration and redundancy elimination on point clouds is presented in this paper. Firstly, the accurate registration arithmetic which based on Iterative Closest Point (ICP...
In this paper, a methodology is proposed for the geometric refinement of LiDAR building roof contours using high-resolution aerial images and Markov Random Field (MRF) models. The proposed methodology...
This paper focuses on a field test that locates roof areas with a high solar potential and predicts the solar “harvest” per m2. The test analyzes 2.5D LIDAR data provided by official surveying and map...
The goal of this study was to analyze the filtering performance of LiDAR data of an algorithm implemented by our group of research. The algorithm is completely automatic and needs only the raw data cl...
Forest management plans are interesting to keep the forest stand natural composite and structure after silvicultural and management treatments. In order to investigate on stand differences made by man...
Hyperspectral imagery is a rich source of spectral information and plays very important role in discrimination of similar land-cover classes. In the past, several efforts have been investigated for im...
In recent years, the rapid increase in the demand for road information together with the availability of large volumes of high resolution Earth Observation (EO) images, have drawn remarkable interest ...

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