Title :
Subband Extraction Strategies in Ship Detection With the Subaperture Cross-Correlation Magnitude
Author :
Brekke, Camilla ; Anfinsen, Stian Normann ; Larsen, Y.
Author_Institution :
Dept. of Phys. & Technol., Univ. of Tromso, Tromsø, Norway
Abstract :
The subaperture cross-correlation magnitude (SCM) has previously been proposed as a statistic that improves the contrast between small ship targets and the surrounding sea in synthetic-aperture-radar images. This preprocessing technique utilizes the fast decorrelation of open-water surface ripples on the scale of the SAR wavelength relative to coherent targets such as a ship. However, optimization of the bandwidth splitting in the subband extraction has not received any attention. The aim of this letter is twofold: 1) to describe the technical details of the algorithm, including modifications that are necessary to allow overlapping subapertures; and 2) to study the effect of splitting the bandwidth into two azimuth subapertures with respect to varying bandwidths and subaperture overlap. The impact on the SCM is investigated in terms of measures of speckle reduction and target-to-clutter contrast. Experiments are performed on real single-look complex SAR data containing repeated acquisitions of a vessel in open sea. The results indicate that the subband extraction strategy has a clear impact on performance.
Keywords :
oceanographic techniques; optimisation; radar detection; radar imaging; remote sensing by radar; ships; synthetic aperture radar; SAR wavelength; SCM; bandwidth splitting optimization; open-water surface decorrelation; overlapping subapertures; ship detection; ship targets; single-look complex SAR data; speckle reduction; subaperture cross-correlation magnitude; subband extraction strategy; synthetic-aperture-radar images; target-to-clutter contrast; Azimuth; Bandwidth; Marine vehicles; Sea measurements; Spatial resolution; Speckle; Synthetic aperture radar; Contrast enhancement; subaperture processing; synthetic aperture radar (SAR); target detection;
Journal_Title :
Geoscience and Remote Sensing Letters, IEEE
DOI :
10.1109/LGRS.2012.2223656