Active spectro-polarimetric imaging: signature modeling, imaging demonstrator and target detection

We report on the synthesis of our work on the analysis of active spectro-polarimetric imaging concept of real-world scenes. These synthesis extend from the investigation of depolarization mechanisms up to image analysis and processing. We show in particular that depolarization effects are wavelength dependent and strongly correlated with light absorption of materials. Multi-wavelength images of degree of polarization are recorded and analyzed, evidencing that the polarimetric image must be interpreted in conjunction with its counterpart intensity image in order to extract, the most relevant information from the scene. For real field operation, the noise characteristics of polarimetric images are also investigated under coherent laser illumination. The potential increase of target detection performance brought by properly processing the active polarimetric image is illustrated on a very low contrast scene.

[1]  T. H. Bryant,et al.  SOCIETIES AND ACADEMIES. , 1895 .

[2]  P. Kubelka.  Ein Beitrag zur Optik der Farban striche , 1931 .

[3]  A. Marvin,et al.  Vector theory of light scattering from a rough surface: unitary and reciprocal expansions , 1984 .

[4]  K. A. O'Donnell,et al.  Observation of depolarization and backscattering enhancement in light scattering from gaussian random surfaces , 1987 .

[5]  Rudolf Sprik,et al.  Depolarization of femtosecond laser pulses in disordered media , 1989 .

[6]  T T Charalampopoulos,et al.  Surface-roughness effects on the determination of optical properties of materials by the reflection method. , 1991, Applied optics.

[7]  C. Brosseau,et al.  Multiply scattered waves through a spatially random medium : entropy production and depolarization , 1992 .

[8]  M. Rigdahl,et al.  Enhancement of the light-scattering ability of coatings by using hollow pigments , 1994 .

[9]  Schmitt,et al.  Depolarization of multiply scattered waves by spherical diffusers: Influence of the size parameter. , 1994, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[10]  Philippe Elies,et al.  Surface rugosity and polarimetric analysis , 1996, Other Conferences.

[11]  R. Chipman,et al.  Interpretation of Mueller matrices based on polar decomposition , 1996 .

[12]  A Dogariu,et al.  Time-domain depolarization of waves retroreflected from dense colloidal media. , 1997, Optics letters.

[13]  Philippe Elies,et al.  Depolarization classification of metallic and dielectric targets , 1997, Defense, Security, and Sensing.

[14]  Boris Kaminsky,et al.  Spectropolarimetric imaging for object recognition , 1998, Other Conferences.

[15]  J. Scott Tyo,et al.  Imaging spectropolarimeters for use in visible and infrared remote sensing , 1999 .

[16]  A G Yodh,et al.  Characteristic scales of optical field depolarization and decorrelation for multiple scattering media and tissues. , 1999, Journal of biomedical optics.

[17]  John P. Kerekes,et al.  Compact active hyperspectral imaging system for the detection of concealed targets , 1999, Defense, Security, and Sensing.

[18]  Z. C. Orel,et al.  Absorption and scattering of light by pigment particles in solar-absorbing paints. , 2000, Applied optics.

[19]  Sebastien Breugnot,et al.  Multispectral polarization active imager in the visible band , 2000, Defense, Security, and Sensing.

[20]  A. Soubret,et al.  A new application of reduced Rayleigh equations to electromagnetic wave scattering by two-dimensional randomly rough surfaces , 2001 .

[21]  Sebastien Breugnot,et al.  Phenomenological model of paints for multispectral polarimetric imaging , 2001, SPIE Defense + Commercial Sensing.

[22]  Steven Kay,et al.  Fundamentals Of Statistical Signal Processing , 2001 .

[23]  Firooz A. Sadjadi,et al.  New experiments in the use of infrared polarization in the detection of small targets , 2001, SPIE Defense + Commercial Sensing.

[24]  David B. Chenault,et al.  Imaging polarimeter development and applications , 2002, SPIE Optics + Photonics.

[25]  Philippe Réfrégier,et al.  Statistical Image Processing Techniques for Noisy Images: An Application-Oriented Approach , 2003 .

[26]  Philippe Refregier,et al.  Multispectral polarimetric imaging with coherent illumination: towards higher image contrast , 2004, SPIE Defense + Commercial Sensing.

[27]  Philippe Réfrégier,et al.  Statistical Image Processing Techniques for Noisy Images , 2004, Springer US.

[28]  A Dogariu,et al.  Optical polarimetry of random fields. , 2005, Physical review letters.