A framework for polarized radiance signature prediction for natural scenes

Devaraj, Chabitha; Brown, Scott; Messinger, David W.; Goodenough, Adam A.; Pogorzala, David

doi:10.1117/12.719798

Cited by 14 publications

(6 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Image products generated from such a sensor, such as Degree and Angle of Polarization, can add a new dimension of discriminability to the tracking algorithm by keying on such vehicle characteristics as surface roughness and orientation. A framework for simulating polarimetric data has been established for DIRSIG 17 , and the model has been shown to be able to accurately reproduce a nominal polarized scene 18 . However before such a data set can be generated, polarized BRDF (pBRDF) models must be attributed to both the static and dynamic scene content.…”

Section: Dynamic Scene Modeling Future Workmentioning

confidence: 99%

Sensor modeling and demonstration of a multi-object spectrometer for performance-driven sensing

et al. 2009

View full text Add to dashboard Cite

A novel multi-object spectrometer (MOS) is being explored for use as an adaptive performance-driven sensor that tracks moving targets. Developed originally for astronomical applications, the instrument utilizes an array of micromirrors to reflect light to a panchromatic imaging array. When an object of interest is detected the individual micromirrors imaging the object are tilted to reflect the light to a spectrometer to collect a full spectrum. This paper will present example sensor performance from empirical data collected in laboratory experiments, as well as our approach in designing optical and radiometric models of the MOS channels and the micromirror array. Simulation of moving vehicles in a highfidelity, hyperspectral scene is used to generate a dynamic video input for the adaptive sensor. Performance-driven algorithms for feature-aided target tracking and modality selection exploit multiple electromagnetic observables to track moving vehicle targets.

show abstract

Section: Dynamic Scene Modeling Future Workmentioning

confidence: 99%

Sensor modeling and demonstration of a multi-object spectrometer for performance-driven sensing

et al. 2009

View full text Add to dashboard Cite

show abstract

“…In the scene are nine (9) Figure 7). Due to the flat nature of the scene, none of the measured imagery featured significant contrast in the S 2 image product, so they are not presented.…”

Section: Illumination Related Phenomenologymentioning

confidence: 99%

“…The incident illumination from the Sun, Moon and sky are provided by MODTRAN-P which has been integration tested with DIRSIG against Coulson's polarized sky measurements. 9 Since the pBRDF is accessed via surface relative incident and reflected angles, the polarization orientation of the incident illuminates must be projected into the surface relative coordinate system, and the leaving radiance must be projected into the polarization coordinates of the scene.…”

Section: The Distribution Of These Samples Is Based On the Shape And mentioning

confidence: 99%

Polarimetric scene modeling in the thermal infrared

et al. 2007

View full text Add to dashboard Cite

show abstract

“…The integration of MODTRAN-P with the DIRSIG model has been verified against community accepted sky polarization Coulson tables. 4 Consideration of the sky polarization is key to accurate polarimetric image simulations due to the dominance of sky radiance on objects in shadows and the potential for a strong polarimetric bias in the sensor to target path radiance which may have a noticeable effect on target detection algorithm performance.…”

Section: Polarized Atmospherementioning

confidence: 99%

Topological anomaly detection performance with multispectral polarimetric imagery

Gartley

Basener

2009

SPIE Proceedings

View full text Add to dashboard Cite

Polarimetric imaging has demonstrated utility for increasing contrast of manmade targets above natural background clutter. Manual detection of manmade targets in multispectral polarimetric imagery can be challenging and a subjective process for large datasets. Analyst exploitation may be improved utilizing conventional anomaly detection algorithms such as RX. In this paper we examine the performance of a relatively new approach to anomaly detection, which leverages topology theory, applied to spectral polarimetric imagery. Detection results for manmade targets embedded in a complex natural background will be presented for both the RX and Topological Anomaly Detection (TAD) approaches. We will also present detailed results examining detection sensitivities relative to: (1) the number of spectral bands, (2) utilization of Stoke's images versus intensity images, and (3) airborne versus spaceborne measurements.

show abstract

A framework for polarized radiance signature prediction for natural scenes

Cited by 14 publications

References 0 publications

Sensor modeling and demonstration of a multi-object spectrometer for performance-driven sensing

Sensor modeling and demonstration of a multi-object spectrometer for performance-driven sensing

Polarimetric scene modeling in the thermal infrared

Topological anomaly detection performance with multispectral polarimetric imagery

Contact Info

Product

Resources

About