Adaptive Bimodal Compression of OPIR Data

Period of Performance: 09/30/2013 - 06/30/2014

$150K

Phase 1 SBIR

Recipient Firm

Areté Associates
9301 CORBIN AVE Suite 2000
Northridge, CA 91324
Principal Investigator

Abstract

ABSTRACT: We present an innovative data compression technique adapted to the particular characteristics of OPIR sensors and missions. This allows optimal treatment of specific features including noise, non-uniformity, and geometry. We propose a bimodal technique designed to optimally estimate data statistics by separating static terrain from transient and dynamic content. BENEFIT: We will pursue operationalization of this technique through successful transition paths Arete has developed for NTM processing algorithms in prior work. We will pursue transition to NASA and NOAA infrared sensors through our business relationship with Carr Astronautics. We will explore opportunities to implement on UAV platforms and manned surveillance aircraft. Finally, we will seek to integrate these techniques on current and future OPIR sensors.