Analysis of Real Sonar Type Scatter Data Using the Point Cloud Method

Abstract

The major goal of the project was to improved on the pint cloud method presented in Palafox (2017): Palafox, A., M. Capistran, and J. A. Christen (2017), Point cloud-based scatterer approximation and affine invariant sampling in the inverse scattering problem, Mathematical Methods in the Applied Sciences 40(9), 33933403. The project proposed to explore new methodological improvements. Specifically, using real data and also advancing on non-convex shapes.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jun 15, 2021
Accession Number
AD1155286

Entities

People

  • J. A. Christen

Organizations

  • CIMAT Center for Mathematical Research

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Confocal Microscopy
  • Data Science
  • Engineering
  • Information Science
  • Inverse Problems
  • Inverse Scattering
  • Microscopes
  • Point Clouds
  • Sampling
  • Scattering
  • Statistical Analysis
  • Statistics
  • Students
  • Technology Transfer
  • Wave Propagation

Readers

  • Distributed Systems and Data Platform Development
  • Finite Element Method (FEM) for solving Partial Differential Equations (PDEs)