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Title: Anomaly Detection in Remote Optical Imagery.


Abstract not provided.

Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA), Office of Defense Nuclear Nonproliferation (NA-20)
OSTI Identifier:
Report Number(s):
DOE Contract Number:
Resource Type:
Resource Relation:
Conference: Proposed for presentation at the CTBTO SnT 2017 held June 26-30, 2017 in Vienna, Austria.
Country of Publication:
United States

Citation Formats

Anderson, Dylan Zachary, and Craven, Julia M. Anomaly Detection in Remote Optical Imagery.. United States: N. p., 2017. Web.
Anderson, Dylan Zachary, & Craven, Julia M. Anomaly Detection in Remote Optical Imagery.. United States.
Anderson, Dylan Zachary, and Craven, Julia M. Thu . "Anomaly Detection in Remote Optical Imagery.". United States. doi:.
title = {Anomaly Detection in Remote Optical Imagery.},
author = {Anderson, Dylan Zachary and Craven, Julia M.},
abstractNote = {Abstract not provided.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Thu Jun 01 00:00:00 EDT 2017},
month = {Thu Jun 01 00:00:00 EDT 2017}

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  • Abstract not provided.
  • The development of unconventional active optical sensors to remotely detect and spatially resolve suspected threats obscured by low-visibility observation conditions (adverse weather, clouds, dust, smoke, precipitation, etc.) is fundamental to maintaining tactical supremacy in the battlespace. In this report, the authors describe an innovative frequency-agile image intensifier technology based on time-gated optical parametic amplification (OPA) for enhanced light-based remote sensing through pervasive scattering and/or turbulent environments. Improved dynamic range characteristics derived from the amplified passband of the OPA receiver combined with temporal discrimination in the image capture process will offset radiant power extinction losses, while defeating the deugradative effects &more » multipath dispersion and ,diffuse backscatter noise along the line-of-sight on resultant image contrast and range resolution. Our approach extends the operational utility of the detection channel in existing laser radar systems by increasing sensitivity to low-level target reffectivities, adding ballistic rejection of scatter and clutter in the range coordinate, and introducing multispectral and polarization discrimination capability in a wavelen~h-tunable, high gain nonlinear optical component with strong potential for source miniaturization. A key advantage of integrating amplification and tlequency up-conversion functions within a phasematched three-wave mixing parametric device is the ability to petiorm background-free imaging with eye-safe or longer inilared illumination wavelengths (idler) less susceptible to scatter without sacrificing quantum efficiency in the detection process at the corresponding signal wavelength. We report benchmark laboratory experiments in which the OPA gating process has been successfidly demonstrated in both transillumination and reflection test geometries with extended pathlengths representative of realistic coastal sea water and cumulus cloud scenarios. In these experiments, undistorted range-gated optica[ images tiom specular and diffuse reflectance targets were acquired through scattering attenuations exceeding ten orders cf magnitude which would be undetectable with traditional optical methods. The broadcast and gating pulses were derived ilom both millijoules 10 Hz picosecond (50-100 ps) and 250 KHz microjoule femtosecond (-150 fs) laser configurations to assess signal-to-noise and spatiaI resolution considerations as a fimction of scattering, integration time, and repetition rate. In addition, the technique was combined with a self-referencing Shack-Hartrnann wavetiont sensor to dia=~ose underlying phase signatures of weak refictive index gradients (OPD-M1 00) or persistent convective wakes (exhaust plumes, bubbles), and to perform adaptive optical compensation in visual fields exhibiting both turbulence and turbidity (OD=4). Comparative system anaiysis results relating image quaiity, optimal gate width, detectable range, and broadcast laser size versus operative atmospheric scattering conditions and search/dwell probability of detection criteria will also be presented.« less
  • A mobile laser remote sensing system is being developed for multispectral UV fluorescence detection of vapor, liquid, and solid effluents. TM system uses laser wavelengths between 250 and 400 nm to excite UV fluorescence spectra that can be used to detect and identify species in multicomponent chemical mixtures. With a scanning mirror assembly, the system is designed to map chemical concentrations with a range resolution of {approximately}5 m. In this paper we describe the optical detection system (scanning mirror assembly, 76 cm diameter collection telescope, relay optics, spectrometers, and detectors) associated data acquisition and control electronics. We also describe uniquemore » diagnostic software that is used for instrument setup and control.« less
  • Interpretation of remote-sensing imagery can identify surface indications of deep subsurface structures in the US Gulf Coast. Structural growth can cause subtle changes in surface geology, topography, drainage patterns, vegetation, and soil moisture that are identifiable with Multispectral Scanner (MSS) Landsat and National High Altitude Photography Program (NHAP) images. Structural growth associated with salt diapirs, listric normal faults, and rollover anticlines has been identified in southeast Texas and southwest Louisiana with remote-sensing imagery. Interactive computer manipulation effectively enhances such imagery. It enables the accurate integration of surface and subsurface data. By stacking geographically correlated data, explorationists can examine anomalous featuresmore » from many different data, relating surface remote-sensing anomalies directly to subsurface structure. If an area lacks subsurface data, a remote-sensing lead can be used to guide subsurface data acquisition. MSS images are an effective reconnaissance tool enabling economical examination of the surface geology of entire basins. Their synoptic perspective makes them well suited for study of regional structural styles. NHAP images can give additional detailed geologic information about potential structures identified first from MSS images. Basins such as the Gulf Coast with unconsolidated surface units and dense vegetation can make remote-sensing analysis difficult. This problem can be overcome by integrating multiple image, surface, and subsurface data, to identify potential structures that previously had been overlooked.« less
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