Optimization of Hyperspectral Target Identification Alorightms via Atmospheric Effects Simulations

Period of Performance: 02/28/2000 - 05/28/2002

$746K

Phase 2 SBIR

Recipient Firm

Spectral Sciences, Inc.
4 Fourth Avenue Array
Burlington, MA 01803
Principal Investigator

Research Topics

Abstract

The use of space-based VIS-NIR hyperspectral imaging sensors has great potential to remotely detect and identify surface objects and materials. However, this presents a very challenging image processing problem due to the deleterious effects of the intervening atmosphere and complex 3D illumination effects of the surface by the atmosphere and local terrain features. Spectral Sciences, Inc., in collaboration with Analytical Imaging and Geophysics, LLC, propose to develop an end-to-end data processing approach for VIS-NIR hyperspectral imaging sensors that include atmospheric correction, surface reflectivity retrieval, surface object/material detection and identification, and a first-principals target simulation capability. The Phase II technical objectives include: (1) development of advanced atmospheric correction, material characterization and object simulation algorithms, (2) integration of the algorithms into and end-to-end data processing software package, and (3) extensive data analysis and algorithm/software validation and testing. In Phase II the prototype software package will be embedded in the widely used ENVI/IDL image processing software. In Phase III an initially export-controlled version of this software will be commercialized.