Rational Approximation and Remote Temperature Sensing
Abstract
In recent years there have been a number of papers dealing with methods for remote temperature sensing based on applying transform theory to the radiative transfer equation. In particular, methods based on optical measure theory method have the advantage that they do not require computations of numerical derivatives. In this paper we present techniques for approximating the radiance profile based on rational interpolation and nonlinear least squares data fitting. Optical measure theory permits the inversion of non-Laplacian exponential kernels. The models developed are easily extended to include generalized exponential weighting functions. We also introduce the concept of total nonlinear least squares data fitting.
Document Details
- Document Type
- Technical Report
- Publication Date
- Nov 20, 1990
- Accession Number
- ADA262389
Entities
People
- Steven J. Leon
Organizations
- University of Massachusetts Dartmouth