A regularization concept for statistical methods of remote radio spectrometry
Abstract
The paper presents a new approach to the problem of developing efficient statistical solution procedures for the multidimensional spectral analysis of remote sensing data. This approach, remote radio spectrometry, is based on a regularizing operator, which is developed within the framework of a maximum-likelihood estimating strategy.
- Publication:
-
Akademiia Nauk Ukrains koi RSR Dopovidi Seriia Fiziko Matematichni ta Tekhnichni Nauki
- Pub Date:
- June 1988
- Bibcode:
- 1988DoUkr.......62S
- Keywords:
-
- Radio Spectroscopy;
- Remote Sensing;
- Spectrum Analysis;
- Statistical Analysis;
- Coherent Radiation;
- Maximum Likelihood Estimates;
- Radio Scattering;
- Wave Propagation;
- Instrumentation and Photography