Opportunity at Air Force Research Laboratory (AFRL)
Characterization of Hyperspectral Imagers
Space Vehicles Directorate, RV/Battle Space Environment
||Kirtland Air Force Base, NM 871175776
|Pereira, Wellesley E.
|Schieffer, Stephanie L
Our research group conducts studies of innovative techniques for calibrating and characterizing the radiometric performance of hyperspectral imaging (HSI) sensors flown on airborne platforms and satellites. HSI have numerous applications in part because the data takes the form of a hypercube containing two spatial and one spectral dimension, thereby providing significantly more information than a panchromatic image. Our interest in HSI sensors is motivated by the need to exploit high fidelity HSI data. Thus, the research we conduct centers around developing rapid, mobile, and accurate (less than 3% uncertainty) radiometric, spectral, and spatial characterization methods utilizing state-of-the-art instrumentation, including supercontinuum fiber lasers and optical parametric oscillators (OPOs). We are currently applying experimental methods and theoretical ideas to develop methods for measuring spectral scattering in both the spectral and spatial dimension for HSI sensors. In addition, we calibrate deployable sensors using both standard techniques and our newly developed methods to generate correction matrices and tensors. We are also interested in developing hyperspectral calibration techniques for the long wave infrared (LWIR). This work provides important data for the validation of optical scatter models that inform the design and development of next-generation sensors.
Zong Y, et al: Applied Optics 45: 1111-1119, 2006
McCorkel J, Thome K, Lockwood RB: IEEE Transactions on Geoscience and Remote Sensing 5: 1309-1318, 2013
Photonics; Lasers; Optics; Ground calibration; On-orbit calibration; Sensors;
Open to U.S. citizens
Open to Postdoctoral and Senior applicants
$3,000 Supplement for Doctorates in Engineering & Computer Science
Postdoctoral and Senior Associates will receive an appropriately higher stipend based on the number of years of experience past their PhD.