Dynamic scene generation, multimodal sensor design, and target tracking demonstration for hyperspectral/polarimetric performance-driven sensing

Michael D. Presnar; Alan D. Raisanen; David R. Pogorzala; John P. Kerekes; Andrew C. Rice

doi:10.1117/12.849469

26 April 2010 Dynamic scene generation, multimodal sensor design, and target tracking demonstration for hyperspectral/polarimetric performance-driven sensing

Michael D. Presnar, Alan D. Raisanen, David R. Pogorzala, John P. Kerekes, Andrew C. Rice

Author Affiliations +

Proceedings Volume 7672, Polarization: Measurement, Analysis, and Remote Sensing IX; 76720T (2010) https://doi.org/10.1117/12.849469
Event: SPIE Defense, Security, and Sensing, 2010, Orlando, Florida, United States

Abstract

Simulation of moving vehicle tracking has been demonstrated using hyperspectral and polarimetric imagery (HSI/PI). Synthetic HSI/PI image cubes of an urban scene containing moving vehicle content were generated using the Rochester Institute of Technology's Digital Imaging and Remote Sensing Image Generation (DIRSIG) Megascene #1 model. Video streams of sensor-reaching radiance frames collected from a virtual orbiting aerial platform's imaging sensor were used to test adaptive sensor designs in a target tracking application. A hybrid division-of-focal-plane imaging sensor boasting an array of 2×2 superpixels containing both micromirrors and micropolarizers was designed for co-registered HSI/PI aerial remote sensing. Pixel-sized aluminum wire-grid linear polarizers were designed and simulated to measure transmittance, extinction ratio, and diattenuation responses in the presence of an electric field. Wire-grid spacings of 500 [nm] and 80 [nm] were designed for lithographic deposition and etching processes. Both micromirror-relayed panchromatic imagery and micropolarizer-collected PI were orthorectified and then processed by Numerica Corporation's feature-aided target tracker to perform multimodal adaptive performance-driven sensing of moving vehicle targets. Hyperspectral responses of selected target pixels were measured using micromirror-commanded slits to bolster track performance. Unified end-to-end track performance case studies were completed using both panchromatic and degree of linear polarization sensor modes.

Citation Download Citation

Michael D. Presnar, Alan D. Raisanen, David R. Pogorzala, John P. Kerekes, and Andrew C. Rice "Dynamic scene generation, multimodal sensor design, and target tracking demonstration for hyperspectral/polarimetric performance-driven sensing", Proc. SPIE 7672, Polarization: Measurement, Analysis, and Remote Sensing IX, 76720T (26 April 2010); https://doi.org/10.1117/12.849469

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