Conference Record of the Thirty-Fourth Asilomar Conference on Signals, Systems and Computers (Cat. No.00CH37154)
DOI: 10.1109/acssc.2000.911282
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Matched subspace detectors for discrimination of targets from trees in SAR imagery

Abstract: Several approaches that exploit forest clutter structure We investigate the use of subspace-based detectors for discriminating vehicles from trees in low frequency synthetic aperture imagery. We model tree scattering as structured isotropic interference responses and model dominant vehicle scattering as dihedral responses. We form linear subspaces of tree and target responses, and apply subspace-based detection methods developed by Scharf and Friedlander. Analysis on synthetic tree and target models show the v… Show more

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Cited by 6 publications
(3 citation statements)
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“…The choice of the plate model is motivated for its simple derivation, its fast computation and its robustness to MMT scattering. Of course, others shapes can be used as dihedral corner reflector as proposed in [12] and the model can be refined by taking into account the edge effect;…”
Section: E Discussion On the Subspace Modelsmentioning
confidence: 99%
See 1 more Smart Citation
“…The choice of the plate model is motivated for its simple derivation, its fast computation and its robustness to MMT scattering. Of course, others shapes can be used as dihedral corner reflector as proposed in [12] and the model can be refined by taking into account the edge effect;…”
Section: E Discussion On the Subspace Modelsmentioning
confidence: 99%
“…This processing has several limitations: it is not robust to configurations not exactly described by the sampling, the computation time may be prohibitive and the interpretation may be dubious (as a target contains elements with various orientations). A similar approach has been developed in [12], where the authors use a subspace generated from the signals scattered by a dihedral corner reflector. However, the dimension of this subspace is large, and therefore does not lead to a significant improvement of the detection performances.…”
Section: Introductionmentioning
confidence: 99%
“…For example, in [4], a spatial template model of target is used in likelihood ratio schemes to derive detectors. Polarimetric diversity has been used in [12], [13] to detect vehicles under foliage, in [14] to detect ship in sea clutter or in [15], [16] for segmentations purposes. In, [17] a diversity coming from successive pulses is used to detect range-spread targets.…”
Section: B Relation To Prior Workmentioning
confidence: 99%