isprsarchives XL 3 W1 79 2014
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In particular, the matching cost combines, via an exponential function, three individual costs: a cost computed on an extended census transformation of images; the
In order to address the bare-ground extraction from LIDAR point clouds of complex landscapes, a novel morphological filtering algorithm is proposed based on multi-gradient analysis
DELINEATION OF BUILDING FOOTPRINTS FROM HIGH RESOLUTION SATELLITE STEREO IMAGERY USING IMAGE MATCHING AND A GIS
Apart from using the images of sensor element 1 to derive the exterior camera orientation for reconstructing the spectral data the geospectral camera is able
(8) Radiometric artefacts like specular reflections and others In this paper, a triangulation-based hierarchical image matching algorithm for stereo satellite imagery is
The results show that the SVD based robust cubature Kalman filter (SVD-RCKF) algorithm can improve the filtering stability and has better robustness to the impact of outliers..
The final systematic image errors based on the additional parameters 1 – 12 + 42 – 73 + 81 – 88 have a shape which approximately can be generated just with the parameters 81 –
These point clouds can be derived from pairs of overlapping images or using the laser raw data together with platform trajectory.. A mobile mapping campaign may include
