Geometric Knot Selection for Radial Scattered Data Approximation

Abstract

Scattered exact and non-exact data are approximated by means of radial basis functions with compact support and the related knot selection is based on the information given by the discrete Gaussian curvature defined on a data triangulation. In case of non-exact data, a strategy to obtain a sign-reliable estimate of its distribution is given extending an approach already studied by the authors for non-exact 2D data.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 2001
Accession Number
ADP013734

Entities

People

  • Alessandra Sestini
  • Rossana Morandi

Organizations

  • University of Florence

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Algorithms
  • Boundaries
  • Curvature
  • Data Reduction
  • Data Sets
  • Inequalities
  • Integrals
  • Interpolation
  • Reliability
  • Shape
  • Technical Information Centers
  • Triangulation

Fields of Study

  • Mathematics

Readers

  • Electromagnetic Wave Scattering and Antenna Radiation Engineering
  • Geodesy
  • Psychological Intervention/Treatment for Stress, Anxiety, PTSD, and Related Emotional and Cognitive Health Symptoms.