1 August 1990 3D collocation filtering
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Proceedings Volume 1395, Close-Range Photogrammetry Meets Machine Vision; 139536 (1990) https://doi.org/10.1117/12.2294357
Event: Close-Range Photogrammetry Meets Machine Vision, 1990, Zurich, Switzerland
Abstract
Collocation is a powerful technique in filtering the correlated part of a signal from noise. It is now a day widely applied in many research field (e.g. in Geodesy to estimate the geoid or in Photogrammetry to reconstruct a DEM). In this paper a 3-D collocation filter is developed from the theoretical and numerical point of view. The main theoretical problem, i.e. to find a suitable catalogue of positive definite functions, is solved and a proper set of positive definite functions for a 3-D process is defined; futhermore a package of FORTRAN 77 programs is developed to implement the method. To test this stochastic filter, a simulated 3-D signal was computed; the numerical procedure has proved to be effective.
© (1990) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Riccardo Barzaghi, Riccardo Barzaghi, } "3D collocation filtering", Proc. SPIE 1395, Close-Range Photogrammetry Meets Machine Vision, 139536 (1 August 1990); doi: 10.1117/12.2294357; https://doi.org/10.1117/12.2294357
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