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Proceedings Paper

Experiences from long range passive and active imaging
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Paper Abstract

We present algorithm evaluations for ATR of small sea vessels. The targets are at km distance from the sensors, which means that the algorithms have to deal with images affected by turbulence and mirage phenomena. We evaluate previously developed algorithms for registration of 3D-generating laser radar data. The evaluations indicate that some robustness to turbulence and mirage induced uncertainties can be handled by our probabilistic-based registration method. We also assess methods for target classification and target recognition on these new 3D data. An algorithm for detecting moving vessels in infrared image sequences is presented; it is based on optical flow estimation. Detection of moving target with an unknown spectral signature in a maritime environment is a challenging problem due to camera motion, background clutter, turbulence and the presence of mirage. First, the optical flow caused by the camera motion is eliminated by estimating the global flow in the image. Second, connected regions containing significant motions that differ from camera motion is extracted. It is assumed that motion caused by a moving vessel is more temporally stable than motion caused by mirage or turbulence. Furthermore, it is assumed that the motion caused by the vessel is more homogenous with respect to both magnitude and orientation, than motion caused by mirage and turbulence. Sufficiently large connected regions with a flow of acceptable magnitude and orientation are considered target regions. The method is evaluated on newly collected sequences of SWIR and MWIR images, with varying targets, target ranges and background clutter. Finally we discuss a concept for combining passive and active imaging in an ATR process. The main steps are passive imaging for target detection, active imaging for target/background segmentation and a fusion of passive and active imaging for target recognition.

Paper Details

Date Published: 13 October 2015
PDF: 13 pages
Proc. SPIE 9649, Electro-Optical Remote Sensing, Photonic Technologies, and Applications IX, 96490J (13 October 2015); doi: 10.1117/12.2196278
Show Author Affiliations
Christina Grönwall, FOI-Swedish Defence Research Agency (Sweden)
David Gustafsson, FOI-Swedish Defence Research Agency (Sweden)
Ove Steinvall, FOI-Swedish Defence Research Agency (Sweden)
Gustav Tolt, FOI-Swedish Defence Research Agency (Sweden)

Published in SPIE Proceedings Vol. 9649:
Electro-Optical Remote Sensing, Photonic Technologies, and Applications IX
Gary Kamerman; Ove Steinvall; Keith L. Lewis; John D. Gonglewski, Editor(s)

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