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View all- Avci E(2013)A new method for expert target recognition systemExpert Systems with Applications: An International Journal10.1016/j.eswa.2013.01.01140:10(3984-3993)Online publication date: 1-Aug-2013
A novel method for speckle noise reduction and ship target detection in SAR images
Pages 1533 - 1542
Abstract
It is very difficult to detect small targets when the scattering intensity of background clutter is as strong as the targets and the speckle noise is serious in synthetic aperture radar (SAR) images. Because the scattering of man-made objects lasts for a longer time than that of background clutter in azimuth matching scope, it is much easier for man-made objects to produce strong coherence than ground objects. As the essence of SAR imaging is coherent imaging, the contrast between targets and background clutter can be enhanced via coherent processing of SAR images. This paper proposes a novel method to reduce speckle noise for SAR images and to improve the detected ratio for SAR ship targets from the SAR imaging mechanism. This new method includes the coherence reduction speckle noise (CRSN) algorithm and the coherence constant false-alarm ratio (CCFAR) detection algorithm. Real SAR image data is used to test the presented algorithms and the experimental results verify that they are feasible and effective.
References
[1]
Zhang, Z.Z., Introduction of Airborne and Spaceborne Synthetic Aperture Radar. 2004. Publishing House of Electronics Industry, Beijing.
[2]
Zhang, Y., Huang, W.G. and Zhang, Y.G., On the space remote sensing of vessels at sea with synthetic aperture radar. Chinese Hydrographic Surveying and Charting. v23 i1. 53-57.
[3]
Eldhuset, K., An automatic ship and ship wake detection system for spaceborne SAR images in coastal regions. IEEE Transactions on Geoscience and Remote Sensing. v34 i4. 1010-1019.
[4]
Jiang, Q.S. and Aitnouri, E.M., Ship detection in radarsat SAR imagery using PNN-model. Canadian Journal of Remote Sensing. v26 i4. 297-305.
[5]
Novak, L.M., Halversen, S.D., Owirka, G.J. and Hiett, M., Effects of polarization and resolution on SAR ATR. IEEE Transactions on Aerospace and Electronic Systems. v33 i1. 102-115.
[6]
W. Yang, H. Sun, X. Xu, G. Xu, Detection of Ships and Ship Wakes in Spaceborne SAR Imagery, Geomatics and Information Science of Wuhan University (in Chinese) 29 (8) (2004) 682-685.
[7]
Kuo, J.M. and Chen, K.-S., The application of wavelets correlator for ship wake detection in SAR images. IEEE Transactions on Geoscience and Remote Sensing. v41 i6. 1506-1511.
[8]
F. Maussang, J. Chanussot, A. Hétet, M. Amate, Higher order statistics for the detection of small objects in a noisy background application on sonar imaging, EURASIP Journal on Advances in Signal Processing 2007 (2007) 17 (article ID 47039).
[9]
De Grandi, G.D., Lee, J.-S. and Schuler, D.L., Target detection texture segmentation in polarimetric SAR images using a wavelet frame: theoretical aspects. IEEE Transactions on Geoscience and Remote Sensing. v45 i11. 3437-3453.
[10]
Greco, M.S. and Gini, F., Statistical analysis of high-resolution SAR ground clutter data. IEEE Transactions on Geoscience and Remote Sensing. v45 i3. 566-575.
[11]
Lee, J.S., Jurkevich, I., Dewaele, P., Wambacq, P. and Oosterlink, A., Speckle filtering of synthetic aperture radar images: a review. Remote Sensing Reviews. i8. 313-340.
[12]
Lee, J.S., Speckle analysis and smoothing of synthetic aperture radar images. Computer Graphics and Image Processing. i17. 24-32.
[13]
Lee, J.S., Digital image enhancement and noise filtering by use of local statistics. IEEE Transactions on Pattern Analysis and Machine Intelligence. v2 i2. 165-168.
[14]
Kuan, D.T., Sawchuk, A.A., Strand, T.C. and Chavel, P., Adaptive noise smoothing filter for images with signal-dependent noise. IEEE Transactions on Pattern Analysis and Machine Intelligence. v7 i2. 165-177.
[15]
Frost, V.S., Stiles, J.A., Shanmugan, K.S. and Holtzman, J.C., A model for radar images and its application to adaptive digital filtering of multiplicative noise. IEEE Transactions Pattern on Analysis and Machine Intelligence. v4 i2. 157-166.
[16]
Lopes, A., Touzi, R. and Nezry, E., Adaptive speckle filters and scene heterogeneity. IEEE Transactions on Geoscience and Remote Sensing. v28 i6. 92-1000.
[17]
Kuan, D.T., Sawchuk, A.A., Strand, T.C. and Chavel, P., Adaptive restoration of images with speckle. IEEE Transactions on Acoustics, Speech, and Signal Processing. v35 i3. 373-383.
[18]
Solbø, S. and Eltoft, T., A stationary wavelet-domain wiener filter for correlated speckle. IEEE Transactions on Geoscience and Remote Sensing. v46 i4. 1219-1230.
[19]
Li, H.C., Hong, W., Wu, Y.R. and Tai, H.M., Texture-preserving despeckling of SAR images using evidence framework. IEEE Geoscience and Remote Sensing Letters. v4 i4. 537-541.
[20]
D. D. Giusto, L. Böröczky, R. Fioravanti, S. Fioravanti, SAR image filtering using wavelet transform, in: IEEE International Geoscience and Remote Sensing Symposium Proceedings, IEEE Publications, Washington, 1995, pp. 2153-2155.
[21]
Simard, M., DeGrandi, G., Thomson, K.P.B. and Bénié, G.B., Analysis of speckle noise contribution on wavelet decomposition of SAR images. IEEE Transactions on Geoscience and Remote Sensing. v36 i6. 1953-1962.
[22]
Bo, Y.C., Wang, J.F., Zhu, C.Y. and Ge, Y., A wavelet-based filter for SAR speckle reduction and the comparative evaluation on its performance. Chinese Journal of Remote Sensing. v7 i5. 393-399.
[23]
López-Martinez, C. and Pottier, E., On the extension of multidimensional speckle noise model from single-look to multilook SAR imagery. IEEE Transactions on Geoscience and Remote Sensing. v45 i2. 305-320.
[24]
López-Martinez, C. and Fíbregas, X., Polarimetric SAR speckle noise model. IEEE Transactions on Geoscience and Remote Sensing. v41 i10. 2232-2242.
[25]
Huang, S.Q., Liu, D.Z., You, H. and Yu, C.L., A speckle reduction method based on data fusion with space domain and transform domain for SAR images. Dynamics of Continuous, Discrete and Impulsive Systems, Series B: Applications and Algorithms. v14 iS1. 107-114.
[26]
Oliver, C. and Quegan, S., Understanding Synthetic Aperture Radar Images. 1998. Artech House, Boston, London.
[27]
Migliaccio, M., Ferrara, G., Gambardella, A., Nunziata, F. and Sorrentino, A., A physically consistent speckle model for marine SLC SAR images. IEEE Journal of Oceanic Engineering. v32 i4. 839-847.
[28]
He, Y., Guan, J. and Ping, Y.N., Radar Automatic Detection and Constant False Alarm Processing. 1999. Tsinghua University Press, Beijing.
[29]
Touzi, R., Lopes, A. and Bousquet, P., A statistical and geometrical edge detector for SAR images. IEEE Transactions on Geoscience and Remote Sensing. v26 i6. 764-773.
[30]
Dai, M., Peng, C., Chan, A.K. and Loguinov, D., Bayesian wavelet shrinkage with edge detection for SAR image despeckling. IEEE Transactions on Geoscience and Remote Sensing. v42 i8. 1642-1648.
Index Terms
- A novel method for speckle noise reduction and ship target detection in SAR images
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Published: 01 July 2009
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View all- Avci E(2013)A new method for expert target recognition systemExpert Systems with Applications: An International Journal10.1016/j.eswa.2013.01.01140:10(3984-3993)Online publication date: 1-Aug-2013