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  • Articles  (37)
  • 2010-2014  (37)
  • 2011  (37)
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  • 1
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    Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2011-12-23
    Print ISSN: 1545-598X
    Electronic ISSN: 1558-0571
    Topics: Architecture, Civil Engineering, Surveying , Geography , Geosciences
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  • 2
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    Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2011-12-23
    Description: Provides instructions and guidelines to prospective authors who wish to submit manuscripts.
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  • 3
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    Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2011-12-23
    Description: Provides a listing of current society officers.
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  • 4
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    Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2011-12-23
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    Topics: Architecture, Civil Engineering, Surveying , Geography , Geosciences
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  • 5
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    Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2011-11-01
    Description: The aperture of 360° gives circular synthetic aperture radar (SAR) (CSAR) the capability to detect hidden target when its orientation is unknown. Subwavelength resolution can also be achieved when the target in the spotted area is observed under a complete circular aperture. Furthermore, the aspect angle diversity inherent to the circular trajectory makes possible a 3-D target reconstruction. However, the latter two potentials require certain target reflectivity homogeneity. For a highly directive scatterer, it has no resolving ability in the direction normal to the data collection plane. In this letter, a new interferometric CSAR method is presented to enhance the tomographic imaging capability for highly directive scatterers without sacrificing other scatterers' resolutions. This method takes advantage of the coherence and the phase difference between a pair of 3-D SAR images formed from data collected at two separate circular apertures to eliminate targets that focused at a wrong elevation. In addition, it uses two different transmit frequencies to solve the problem of phase cycle ambiguities. Finally, simulation results validate this new approach.
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    Topics: Architecture, Civil Engineering, Surveying , Geography , Geosciences
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  • 6
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    Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2011-11-01
    Description: During the data acquisition of a sliding spotlight or terrain observation by progressive scan (TOPS) synthetic aperture radar (SAR), the steering of the antenna main beam increases the azimuth bandwidth but could result in the azimuth signal aliasing in the Doppler domain. To remove the aliasing, one has used a subaperture method. In this letter, we show a focusing scheme without the use of the subaperture for both sliding spotlight and TOPS SARs. In doing so, we eliminated the obvious increase in data volume or the subaperture division by choosing the pulse repetition frequency that is only 20% greater than the instantaneous bandwidth. The method was incorporated with an available imaging algorithm and then used to process simulated and collected data of the sliding spotlight and TOPS SARs. Well-focused results without aliasing were obtained.
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    Topics: Architecture, Civil Engineering, Surveying , Geography , Geosciences
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  • 7
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    Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2011-11-01
    Description: The SOund Navigation And Ranging (SONAR) images are perturbed by speckle noise. This paper presents a new denoising method in the wavelet domain, which tends to reduce the speckle, preserving the structural features and the textural information of the scene. Shift invariance associated with good directional selectivity is important for the use of a wavelet transform (WT) in denoising of SONAR images. In this paper, we propose the use of a variant of hyperanalytic WT, which is quasi-shift invariant and has good directional selectivity in association with a maximum a posteriori filter named bishrink. This filter makes a very good treatment of the contours. The corresponding denoising algorithm is simple and fast. Its performance was proved on images perturbed by synthesized speckle noise and on real SONAR images.
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  • 8
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    Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2011-11-01
    Description: In this letter, a new strategy based on nonnegative matrix factorization (NMF) is proposed for polarimetric ship detection. This method utilizes the sparse feature of nonnegative eigenvalues, and the sparse degree is proposed to be estimated from the histogram which can reveal the sparse distribution of eigenvalues. Combining the nonnegative and sparse features, the NMF-based ship detection method can be implemented flexibly and efficiently. It has been carried out on the C-band quad polarimetric synthetic aperture radar (PolSAR) and dual PolSAR ocean data sets to validate its effectiveness. Unlike a constant-false-alarm-rate detector, the NMF method does not depend on target size and therefore offers improved detection performance under low-signal-to-clutter-ratio conditions.
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  • 9
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    Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2011-11-01
    Description: The aim of this letter is to show how a joint adoption of a suitable regularization scheme and a proper rewriting of the traditional electromagnetic scattering equation allows introducing an interesting linear inversion tool which allows achieving nice reconstructions in many cases of practical interest. In particular, an innovative inversion approach which takes definite advantage from the joint use of the Contrast Source-Extended Born model and a Markov-random-field-based regularization scheme is proposed. Numerical examples, confirming accuracy usefulness, are reported and discussed.
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  • 10
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    Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2011-11-01
    Description: The estimation of weather parameters such as attenuation and rainfall rates from remotely sensed weather radar data has been based mainly on deterministic regression models. This letter introduces a new Gaussian mixture parameter estimator (GMPE)-based framework to incorporate prior knowledge into this process. The GMPE makes possible a versatile model for parameter estimation under all conditions without compromising accuracy. Observations from dual-polarized and dual-frequency radar sensors can be utilized in the GMPE in a very flexible manner. Simulation examples have demonstrated that the GMPE has better estimation error performance than traditional methods for parameter estimation applications, particularly for noisy observations. The impacts of mixture number and state vector selections in the GMPE are also discussed.
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