Algorithm Comparison for Shallow-Water Remote Sensing
Abstract
The goal of this work was to evaluate several existing algorithms for inverting remotely sensed hyperspectral reflectances to extract environmental information such as water-column optical properties, bathymetry, and bottom classification. A number of investigators worldwide have developed algorithms for recovery of bathymetry, bottom classification, and water-column optical properties (in particular, absorption and backscatter coefficients) from airborne hyperspectral imagery of optically shallow waters. Each of those algorithms has its own strengths and weaknesses, or environments for which it may provide better or poorer retrievals than other algorithms. It is therefore necessary to determine the performance characteristics of all available retrieval algorithms. This objective of the present small effort was to finish an on-going comparison of those algorithms via the preparation of a paper on the comparison results.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jan 01, 2010
- Accession Number
- ADA541078
Entities
People
- Curtis D. Mobley