Skip to main content

Performance evaluation of spatial interpolation methods in the presence of noise

Buy Article:

$55.00 plus tax (Refund Policy)

This study aims to investigate the robustness of some spatial interpolation methods (SIM) in the presence of noisy data. SIM are used in different contexts such as the identification of hot-spots in brown fields, Geographical Information Systems (GIS), remote sensing and visualization/shape re-construction. In all contexts, the correct representation of a given surface is crucial. For instance, in a site characterization context identifying hot-spots, all contaminated areas should be determined in order to minimize health hazards in human use after the reclamation of the site. Here, we conduct a numerical survey on the performance of four spatial interpolation techniques using eight mathematical functions to represent domain-independent surfaces. Furthermore, we also investigate the effects of different sampling patterns on the performance of SIM.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Data/Media
No Metrics

Document Type: Research Article

Affiliations: Yeditepe University, Department of Systems Engineering, 26 Agustos Yerlesimi, 81120 Kayisdagi, Istanbul, Turkey

Publication date: 2003-03-01

More about this publication?
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more