&lt;title&gt;Morphological technique for clutter suppression in ATR&lt;/title&gt;

Pham, Quoc Henry; Brosnan, Timothy Myers; Smith, M.J.T.; Mersereau, R.M.

doi:10.1117/12.323854

Cited by 2 publications

(2 citation statements)

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“…Morphological filter utilizing the differences in size is suitable for suppression of them. In recent researches on detection of weak and small targets, morphological filter is often used as an efficient way of clutter reduction and is put in the prescreening step [22]. Thus, morphological filter is not included in our BOR-enhanced imaging method.…”

Section: Weak Clutters With Large Asementioning

confidence: 99%

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Body-of-Revolution-Enhanced Imaging in Ultra-Wideband Sar

Liang¹,

Song²,

Zhang³

et al. 2013

PIER

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Abstract-For ultra-wideband synthetic aperture radar (UWB SAR), there often exist a lot of clutters in the image, and the weak targets are easy to be masked by them. However, using the prior scattering knowledge of targets, enhanced imaging can be realized and beneficial improvements in image quality and detection performance can be expected. In this paper, an enhanced imaging method for body of revolution (BOR) has been researched. Since the BOR target has the unique feature of aspect-invariant characteristic, the aspect scattering entropy (ASE) is proposed to describe the diversity of aspect scattering and used in the BOR-enhanced imaging method. Then the application of the proposed method in landmine detection is discussed. The experimental results show that the BOR targets are effectively enhanced and the clutters are surpressed and thus the probability of landmine detection increases under the same false alarm rate.

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Section: Weak Clutters With Large Asementioning

confidence: 99%

“…Therefore, the morphological filtering is used on CFAR result. The details of morphological filtering are given in [22]. Clustering is adopted after morphological filtering for acquiring the centres of landmines which are used to extract region of interest (ROI).…”

Section: Applications In Landmine Detectionmentioning

confidence: 99%