isprsarchives XL 1 W3 159 2013
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Data fusion of high-resolution satellite imagery and GIS data for automatic building extraction.. GUO Zhou a, * , LUO Liqun a, b , WANG Wanyi a , DU Shihong a a Institute
The accuracy assessment was derived based on the available land cover maps for fuzzy post classification comparison, combined fuzzy spectral – temporal
Figure 13: Time calibration for Pl´eiades stereo imagery; left: a car with positions in pan and a multispectral channel of the first stereo image; right: the same car in the
An algorithm for 3D reconstruction of the buildings based on LiDAR point cloud and aerial imagery is proposed which uses the advantage of both data sources,
KEY WORDS: updating, DSM, LiDAR, high resolution satellite images, 3D change detection, automatic building
It is already necessary to make a compromise between spatial and temporal resolution – if the data are available in high temporal resolution (from geostationary
Remote sensing data of four different spatial resolutions; broad- scale (250 m resolution Terra/MODIS); medium scale (10 m resolution SPOT/HRG-2); fine scale (0.5m
However, with new high resolution Digital Terrain Model (DTM) from bathymetric and airborne LiDAR (Light Detection and Ranging) surveys and precise tidal data
