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A COMPARISON BETWEEN METHODS–A SPECIALIZED OPERATOR,OBJECT ORIENTED AND PIXEL-ORIENTED IMAGE ANALYSIS–TO DETECT ASBESTOS COVERAGES IN BUILDING ROOFS USING REMOTELY SENSED DATA
Hazards Recognition Feature Detection Neural Networks Multiresolution Segmentation
2015/12/28
All the risks concerning the long lasting exposition to the asbestos, for instance diseases affecting the respiratory system, are known very well. In particular, it’s the friable asbestos the most dan...
Analysis of the Solar Potential of Roofs by Using Official LIDAR Data
Image Processing DSM DEM LIDAR Texture Analysis
2015/12/16
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...
REGION REFINEMENT AND PARAMETRIC RECONSTRUCTION OF BUILDING ROOFS BY INTEGRATION OF IMAGE AND HEIGHT DATA
Building reconstruction Feature extraction Segmentation LiDAR Data fusion Photogrammetry
2015/8/7
The refinement of the features extracted from image data is a key issue in automated building extraction since feature extraction algorithms often result in incomplete features. This paper describes a...
ESTIMATION OF SOLAR RADIATION ON BUILDING ROOFS IN MOUNTAINOUS AREAS
Photovoltaic potential 3D buildings Data integration GRASS GIS Photogrammetry LiDAR Terrain modelling
2014/5/8
The aim of this study is estimating solar radiation on building roofs in complex mountain landscape areas. A multi-scale solar radiation estimation methodology is proposed that combines 3D data rangin...
AUTOMATIC EXTRACTION OF BUILDING ROOFS FROM PICTOMETRY'S ORTHOGONAL AND OBLIQUE IMAGES
Photogrammetry Extraction Building Image Edge Automation
2014/4/28
Automatic extraction of buildings from digital images aims at detection of buildings from digital images and reconstruction of roof structure automatically. At Pictometry, more than 30 million images ...