Volume 5 Issue 1
Feb.  2016
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YU Wenxian. Automatic target recognition from an engineering perspective[J]. Journal of Radars, 2022, 11(5): 737–752. doi: 10.12000/JR22178
Citation: Zhang Zenghui, Yu Wenxian. Feature Understanding and Target Detection for Sparse Microwave Synthetic Aperture Radar Images[J]. Journal of Radars, 2016, 5(1): 42-56. doi: 10.12000/JR15097
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Feature Understanding and Target Detection for Sparse Microwave Synthetic Aperture Radar Images

DOI: 10.12000/JR15097

  • Shanghai Key Laboratory of Intelligent Sensing and Recognition, School of Electronic, Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China

Funds:

The National Natural Science Foundation of China (61331015), The National Basic Research Program of China (2010CB731904)

  • Received Date: 2015-08-15
  • Rev Recd Date: 2015-10-19
  • Publish Date: 2016-02-28
    Abstract
  • Sparse microwave imaging using sparse priors of observed scenes in space, time, frequency, or polarization domain and echo data with sampling rate smaller than the traditional Nyquist rate as well as optimization algorithms for reconstructing the microwave images of observed scenes has many advantages over traditional microwave imaging systems. In sparse microwave imaging, image acquisition and representation vary; therefore, new feature analysis and cognitive interpretation theories and methods should be developed based on current research results. In this study, we analyze the statistical properties of sparse Synthetic Aperture Radar (SAR) images and changes in point, line and regional features induced by sparse reconstruction. For SAR images recovered by the spatial sparse model, the statistical distribution degrades, whereas points and lines can be accurately extracted by low sampling rates. Furthermore, the target detection method based on sparse SAR images is studied. Owing to a weak background noise, target detection is easier using sparse SAR images than traditional ones.

     

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    • References(56)
  • [1]
    Oliver C and Quegan S. Understanding Synthetic Aperture Radar Images[M]. Raleigh, NC, SciTech Publishing, 2004: 1-512.
    [2]
    Auer S J. 3D synthetic aperture radar simulation for interpreting complex urban reflection scenarios[D].
    [3]
    [Ph.D. dissertation], Technische Universitt Mnchen, 2011: 13-15.
    [4]
    Candes E J. Compressive sampling[C]. International Congress of Mathematics, Madrid, Spain, 2006: 1433-1452.
    [5]
    Baraniuk R G. Compressive sensing[J]. IEEE Signal Processing Magazine, 2007, 24(4): 118-121.
    [6]
    Candes E J and Wakin M B. An introduction to compressive sampling[J]. IEEE Signal Processing Magazine, 2008, 25(2): 21-30.
    [7]
    Baraniuk R G. More is less: Signal processing and the data deluge[J]. Science, 2001, 331(6018): 717-719.
    [8]
    Baraniuk R G and Steeghs P. Compressive radar imaging[C]. IEEE Radar Conference, Waltham, Massachusetts, 2007: 128-133.
    [9]
    Herman M A and Strohmer T. High resolution radar via compressed sensing[J]. IEEE Transactions on Signal Processing, 2009, 57(6): 2275-2284.
    [10]
    Gurbuz A C, McClellan J H, and Scott W R Jr. GPR imaging using compressed measurements[C]. International Geoscience and Remote Sensing Symposium (IGARSS), Boston, MA, USA, 2008, 2: II-13 -II-16.
    [11]
    Suksmono A B, Bharata E, Lestari A A, et al.. Compressive stepped-frequency continuous-wave ground penetrating radar[J]. IEEE Geoscience and Remote Sensing Letters, 2010, 7(4): 665-669.
    [12]
    YANG J, Thompson J, HUANG X, et al.. Random-frequency SAR imaging based on compressed sensing[J]. IEEE Transactions on Geoscience and Remote Sensing, 2013, 51(2): 983-994.
    [13]
    Tello M, Lopez-Dekker P, and Mallorqui J J. A novel strategy for radar imaging based on compressive sensing[J]. IEEE Transactions on Geoscience and Remote Sensing, 2010, 48(12): 4285-4295.
    [14]
    Patel V M, Easley G R, Healy D M, et al.. Compressed synthetic aperture radar[J]. IEEE Journal of Selected Topics in Signal Processing, 2010, 4(2): 244-254.
    [15]
    Nguyen L H, Tran T, and Thong D. Sparse models and sparse recovery for ultra-wideband SAR applications[J]. IEEE Transactions on Aerospace and Electronic Systems, 2014, 50(2): 940-958.
    [16]
    Batu O and Certin M. Parameter selection in sparsity-driven SAR imaging[J]. IEEE Transactions on Aerospace and Electronic Systems, 2011, 47(4): 3040-3050.
    [17]
    Onhon N O and Certin M. A sparsity-driven approach for joint SAR imaging and phase error correction[J]. IEEE Transactions on Imaging Processing, 2012, 21(4): 2075-2088.
    [18]
    Stojanovic I, Certin M, and Karl W C. Compressed sensing of monostatic and multistatic SAR[J]. IEEE Geoscience and Remote Sensing Letters, 2013, 10(6): 1444-1448.
    [19]
    FANG J, XU Z, ZHANG B, et al.. Fast compressed sensing SAR imaging based on approximated observation[J]. IEEE Journal of Selected Topics in Applied Earth Observation and Remote Sensing, 2014, 7(1): 352-363.
    [20]
    Potter L C, Ertin E, Parker J T, et al.. Sparsity and compressed sensing in radar imaging[J]. Proceedings of the IEEE, 2010, 98(6): 1006-1020.
    [21]
    Certin M, Stojanovic I, Onhon N O, et al.. Sparsity-driven synthetic aperture radar imaging: reconstruction, autofocusing, moving targets, and compressed sensing[J]. IEEE Signal Processing Magazine, 2014, 31(4): 27-40.
    [22]
    JIANG Q, WANG S, Ziou D, et al.. Ship detection in RADARSAT SAR imagery[C]. IEEE International Conference on Systems, Man and Cybernetics, San Diego, California, USA, 1998, 5: 4562-4566.
    [23]
    Tison C, Nicolas J-M, Tupin F, et al.. A new statistical model for Markovian classification of urban areas in high-resolution SAR images[J]. IEEE Transactions on Geoscience and Remote Sensing, 2003, 42(10): 2046-2057.
    [24]
    LI H, HONG W, WU Y, et al.. On the empirical-statistical modeling of SAR images with generalized Gamma distribution[J]. IEEE Journal of Selected Topics in Signal Processing, 2011, 5(3): 386-397.
    [25]
    Henschel M D, Rey M T, Campbell J W M, et al.. Comparison of probability statistics for automated ship detection in SAR imagery[C]. International Conference on Applications of Photonic Technology, Ottawa, Canada, 1998, 3491: 986-991.
    [26]
    Wackerman C C, Friedman K S, Pichel W G, et al.. Automatic detection of ships in RADARSAT-I SAR imagery[J]. Canadian Journal of Remote Sensing, 2001, 27(5): 568-577.
    [27]
    WANG C, LIAO M, and LI X. Ship detection in SAR image based on the Alpha-stable distribution[J]. Sensors, 2008, 8(8): 4948-4960.
    [28]
    Frery A C, Correia A H, and Freitas C D. Classifying multifrequency fully polarimetric imagery with multiple sources of statistical evidence and contextual information[J]. IEEE Transactions on Geoscience and Remote Sensing, 2007, 45(10): 3098-3109.
    [29]
    GAO G, LIU L, ZHAO L, et al.. An adaptive and fast CFAR algorithm based on automatic censoring for target detection in high-resolution SAR image[J]. IEEE Transactions on Geoscience and Remote Sensing, 2009, 47(6): 1685-1697.
    [30]
    Yeremy M L, Geling G, Rey M, et al.. Results from the Crusade ship detection trial: polarimetric SAR[C]. International Geoscience and Remote Sensing Symposium (IGARSS), Toronto, Ontario, Canada, 2002, 2: 711-713.
    [31]
    丘昌镇. 高分辨率SAR图像目标分类特征提取与分析[D].
    [32]
    [硕士论文],国防科技大学, 2009: 2-4. QIU C. Feature extraction and analysis of high-resolution SAR images for target classification[D].
    [33]
    [Master dissertation], National University of Defense Technology of China, 2009: 2-4.
    [34]
    贺志国, 陆军, 匡纲要. SAR图像特征提取与选择研究[J]. 信号处理, 2008, 24(5): 813-823. HE Z, LU J, and KUANG G. A survey on feature extraction and selection of SAR images[J]. Signal Processing, 2008, 24(5): 813-823.
    [35]
    计科峰. SAR图像目标特征提取与分类方法研究[D].
    [36]
    [博士论文],国防科技大学, 2003: 35-56. JI K Targets feature extraction and classification methods for SAR images[D].
    [37]
    [Ph.D. dissertation], National University of Defense Technology of China, 2003: 35-56.
    [38]
    ertin M. Feature-enhanced synthetic aperture radar imaging[D].
    [39]
    [Ph.D. dissertation], Boston University, 2001: 38-206.
    [40]
    Certin M, Karl W C, and Castanon D A. Feature enhancement and ATR performance using nonquadratic optimization-based SAR imaging[J]. IEEE Transactions on Aerospace and Electronic Systems, 2003, 39(4): 1375-1395.
    [41]
    Samadi S, Certin M, and Masnadi-Shirazi M A. Multiple feature-enhanced SAR imaging using sparsity in combined dictionaries[J]. IEEE Geoscience and Remote Sensing Letters, 2013, 10(4): 821-825.
    [42]
    ZHANG B, HONG W, and WU Y. Sparse microwave imaging: principles and applications[J]. SCIENCE CHINA Information Sciences, 2012, 55(8): 1722-1754.
    [43]
    Tropp J A and Wright S J. Computational methods for sparse solution of linear inverse problems[J]. Proceedings of the IEEE, 2010, 98(6): 948-958.
    [44]
    Donoho D L, Johnstone I M, Koch J C, et al.. Maximum entropy and the nearly black object[J]. Journal of the Royal Statistical Society, Series B, 1992, 54(1): 41-81.
    [45]
    Bouman C and Sauer K. A generalized Gaussian image model for edge-preserving MAP estimation[J]. IEEE Transactions on Image Processing, 1993, 2(3): 296-310.
    [46]
    CHANG L and WU J. An improved RIP-based performance guarantee for sparse signal recovery via orthogonal matching pursuit[J]. IEEE Transactions on Information Theory, 2014, 60(9): 5702-5715.
    [47]
    DING J, CHEN L, and GU Y. Perturbation analysis of orthogonal matching pursuit[J]. IEEE Transactions on Signal Processing, 2013, 61(2): 398-410.
    [48]
    张爱冰. 高分辨率SAR图像复杂目标属性散射中心特征提取[D].
    [49]
    [硕士论文],国防科技大学, 2009: 9-48. ZHANG A. Attributed scattering center feature extraction of complex target from high resolution SAR imagery[D].
    [50]
    [Master dissertation], National University of Defense Technology, 2009: 9-48.
    [51]
    Cho S, Haralick R, and Yi S. Improvement of Kittler and Illingworths's minimum error thresholding[J]. Pattern Recognition, 1989, 22(5): 609-617.opy and the nearly black object[J]. Journal of the Royal Statistical Society, Series B, 1992, 54(1): 41-81.
    [52]
    Bouman C and Sauer K. A generalized Gaussian image model for edge-preserving MAP estimation[J]. IEEE Transactions on Image Processing, 1993, 2(3): 296-310.
    [53]
    CHANG L and WU J. An improved RIP-based performance guarantee for sparse signal recovery via orthogonal matching pursuit[J]. IEEE Transactions on Information Theory, 2014, 60(9): 5702-5715.
    [54]
    DING J, CHEN L, and GU Y. Perturbation analysis of orthogonal matching pursuit[J]. IEEE Transactions on Signal Processing, 2013, 61(2): 398-410.
    [55]
    张爱冰. 高分辨率SAR图像复杂目标属性散射中心特征提取[D]. [硕士论文],国防科技大学, 2009: 9-48. ZHANG A. Attributed scattering center feature extraction of complex target from high resolution SAR imagery[D]. [Master dissertation], National University of Defense Technology of China, 2009: 9-48.
    [56]
    Cho S, Haralick R, and Yi S. Improvement of Kittler and Illingworths's minimum error thresholding[J]. Pattern Recognition, 1989, 22(5): 609-617.
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