3D collocation filtering

Riccardo Barzaghi

doi:10.1117/12.2294357

1 August 1990 3D collocation filtering

Riccardo Barzaghi

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.

Citation Download Citation

Riccardo Barzaghi "3D collocation filtering", Proc. SPIE 1395, Close-Range Photogrammetry Meets Machine Vision, 139536 (1 August 1990); https://doi.org/10.1117/12.2294357

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available