Paper
17 May 2006 A challenge problem for detection of targets in foliage
Mikael Lundberg, Lars M. H. Ulander, William E. Pierson, Anders Gustavsson
Author Affiliations +
Abstract
This paper describes a challenge problem whose scope is detection of stationary vehicles in foliage using VHF-band SAR data. The data for this challenge problem consists of images collected by the Swedish CARABAS-II system which produces SAR images at the low VHF-band (20-90 MHz). At these frequencies the electromagnetic energy from the radar penetrates the foliage of the forest, providing a return from a target concealed in a forest. Thus, VHF-band SAR technology transforms the foliage penetration problem into a traditional detection problem where the goal is to reduce the false alarm rate (FAR). Reducing the FAR requires suppressing the clutter in a VHF-band SAR image which is dominated by larger tree trunks, buildings and other man-made objects. The purpose of releasing the CARABAS-II data set is to provide the community with VHF-band SAR data that supports development of new algorithms for robust target detection with a low false alarm rate. The set of images supports single-pass, two-pass and multi-pass target detection.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mikael Lundberg, Lars M. H. Ulander, William E. Pierson, and Anders Gustavsson "A challenge problem for detection of targets in foliage", Proc. SPIE 6237, Algorithms for Synthetic Aperture Radar Imagery XIII, 62370K (17 May 2006); https://doi.org/10.1117/12.663594
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Cited by 35 scholarly publications.
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KEYWORDS
Target detection

Synthetic aperture radar

VHF band

Detection and tracking algorithms

Electromagnetic coupling

Surveillance

Algorithm development

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