The simulation of SAR data products
Abstract
Conditions a SAR simulator must meet for agriculture and forestry are presented. Several levels of simulation are identified, each requiring particular software tools; the feasibility of producing these tools is discussed. The major requirement is for a radar cross section database whose input data is comprehensively described and of known accuracy; experimental conditions must, in principle, be repeatable from the measurement description and the database must be linked to thoroughly understood theoretical models. The random medium, lossy scatterer, and water cloud models are shown to have a similar structure, allowing comparability, but Peake's (1959) model for cereals and grasses has a different form. A prototype database was constructed. Also important is texture simulation; methods based on the autocorrelation function and the spatial gray level dependency matrix are described. Examples of simulation of textured regions and linear features are displayed.
- Publication:
-
SAR Applications Workshop
- Pub Date:
- December 1986
- Bibcode:
- 1986sar..work...37Q
- Keywords:
-
- Agriculture;
- Data Simulation;
- Forest Management;
- Radar Cross Sections;
- Radar Data;
- Synthetic Aperture Radar;
- Data Bases;
- Land Use;
- Mathematical Models;
- Textures;
- Communications and Radar