Pattern recognition via multispectral, hyperspectral, and polarization-based imaging

El-Saba, Aed M.; Alam, Mohammad S.; Sakla, Wesam

doi:10.1117/12.851689

Cited by 4 publications

(3 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Image details and color fidelity of the scene are remarkably improved, which is closely comparable to the original haze-free scene. Compared to prior-based image dehazing methods, multiband polarization techniques provide more accurate visual effects, due to the unique physicsbased analysis of intrinsic properties of targets [50,51]. Multiband polarization scheme has performed physics-based effectiveness in descattering and visibility enhancement in turbid media, even liquids and solids.…”

Section: Image Dehazingmentioning

confidence: 99%

Multiband Polarization Imaging

et al. 2016

View full text Add to dashboard Cite

Multiband polarization imaging is an emerging sensing method that enables simultaneous acquisition of multiband spectral and multiangle polarization information of an object of interest in the scene. Spectral signatures of the light reflected from a target reveal the characteristics of the material composing the target while polarized light provides useful information on the surface features such as light scattering and specular reflection. In multiband spectral imaging, combined spectral and polarization information offers a comprehensive representation of an object utilizing complementary spectral and polarization information in visual sensing. Multiband polarization imaging has demonstrated a potential in the recognition of targets in challenging operating environments such as low-contrast and hazy conditions. This paper presents the concept and recent advances of multiband polarization imaging techniques, in particular, a bioinspired multiband polarization vision system. Applications of multiband polarization imaging in various fields include atmospheric observation, object detection and classification, medical diagnostics, surveillance, and 3D object reconstruction.

show abstract

Section: Image Dehazingmentioning

confidence: 99%

Multiband Polarization Imaging

et al. 2016

View full text Add to dashboard Cite

show abstract

“…The ability to image a scene and capture the reflected polarisation state has numerous applications: for target detection [1][2][3][4][5]; to material identification [6]; to imaging through fog [7][8][9][10] and rain [11]. There are a large number of remote imaging applications [12], and it is often measured in the infra-red region [13].…”

Section: Introductionmentioning

confidence: 99%

Multiple-view polarimetric camera

2018

View full text Add to dashboard Cite

A multiple-view polarimetric camera is developed. The system uses four separate action cameras, and software is employed to map the images onto each other in order to generate the Stokes vectors, the degree of linear polarization, and the angle images. To ensure robustness, an automated calibration system has been developed that ensures the pixels are correctly mapped. Video frame synchronization is also developed.

show abstract

“…There is an enormous array of algorithms that have been proposed, implemented in hardware, and tested within many Department of Defense (DOD) services and agencies. A selection of algorithm classes are statistical, shape based (template/model), MTI, increased dimensionality (e.g., 3-D LADAR), [14][15][16] hyper-/multispectral (MS/HS), [17][18][19] and neural nets. Multisensor phenomenologies have been tried, including multisensor, where more than one sensor is looking at the same target; multilook, where one sensor gets several looks at the target from different aspects; and multimode fusion, where sensors of different modalities sense the target (e.g., acoustic and EO signals are fused).…”

Section: Detectionmentioning

confidence: 99%

Review of current aided/automatic target acquisition technology for military target acquisition tasks

Ratches

2011

Opt. Eng

View full text Add to dashboard Cite

Abstract. Aided and automatic target recognition (Ai/ATR) capability is a critical technology needed by the military services for modern combat. However, the current level of performance that is available is largely deficient compared to the requirements. This is largely due to the difficulty of acquiring targets in realistic environments but has also been due to the difficulty in getting new concepts from, for example, the academic community, due to limitations for distribution of classified data. The difficulty of the performance required has limited the fulfillment of the promise that is so anticipated by the war fighter. We review the metrics, imagery data bases, and sensors associated with Ai/ATR performance and suggest possible technical approaches that could enable new advancements in military-relevant performance. C 2011 Society of Photo-Optical Instrumentation Engineers (SPIE).

show abstract

Pattern recognition via multispectral, hyperspectral, and polarization-based imaging

Cited by 4 publications

References 0 publications

Multiband Polarization Imaging

Multiband Polarization Imaging

Multiple-view polarimetric camera

Review of current aided/automatic target acquisition technology for military target acquisition tasks

Contact Info

Product

Resources

About