LUT Wrap Up

This work is being conducted in conjunction with Dr. Paul Bissett at WeoGeo, Inc, who was separately funded for his contributions to the development of CRISTAL, and who is currently funded via a subcontract for the evaluation of World View 2 imagery for bathymetry retrieval.

The overall goal of this work is to develop and validate a spectrum-matching and look-up-table (LUT) technique for rapidly and accurately inverting remotely sensed hyperspectral reflectances to extract environmental information such as bathymetry, and bottom classification, and water-column optical properties. My colleague W. P. Bissett and I have developed new techniques for the extraction of environmental information including shallow-water bathymetry, bottom classification, and water-column inherent optical properties (IOPs), from remotely-sensed hyperspectral ocean-color imagery. We have addressed the need for rapid, semi-automated interpretation of such imagery. My research centered on development and evaluation of the spectrum-matching algorithms, including the generation of confidence metrics for the retrieved information. My initial objectives during the current year were to wrap up the previous developments by (1) documenting the lessons learned about what works well and what does not; (2) clean up the computer codes; (3) create more extensive databases of remote-sensing reflectances Rrs so that the existing algorithms can be applied to a wider range of environments; (4) prepare a user s guide for the processes of creating new databases, processing images with the algorithms previous developed, and displaying the results; (5) transfer the code to NRL for beta testing. Additional on-going work centers on evaluating World View 2 satellite multi-spectral imagery for retrieval of bathymetry.