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We develop a novel pose estimation technique for synthetic aperture radar image chips based on the 2-D continuous wavelet transform (CWT). The pose estimator exploits a fast approximation of the 2-D CWT so that its computational complexity is comparable to a principle component analysis (PCA) based approach. By incorporating energy from various scales, the CWT approach is more robust than the PCA method. Experiments over the MSTAR database confirm the robustness of the CWT method. [Copyright &y& Elsevier]

Introduces a multiscale prescreener algorithm that runs as part of the image formation processing step for ultrawideband (UWB) synthetic aperture radar (SAR) systems. Overview of SAR; Review of standard and quadtree backprojection methods; Description of the scattering model and resulting prescreener algorithm; Performance of the pruned image formation scheme in terms of false alarms.

Focuses on a study which examined the multiplicative speckle models for template-based signal aperture radar (SAR) automatic target recognition (ATR) systems. SAR image models; Validation of multiplicative model; Analysis of different multiplicative models; Conclusions.

Evaluates the utility of the extended fractal feature for the enhancement of the focus of attention stage of a synthetic aperture radar automatic target recognition system. Description of the general framework of target detection algorithms; Definition and properties of extended fractal.

Presents a study which evaluated the effectiveness of multiscale Hurst parameters as features for texture classification and segmentation. Classification accuracy for the generalized Hurst; Evaluation of the segmentation accuracy using generalized and standard Hurst features; Effectiveness of the Hurst features to segment real synthetic aperture radar (SAR) imagery.