Journal of Shanghai Jiao Tong University ›› 2020, Vol. 54 ›› Issue (12): 1259-1268.doi: 10.16183/j.cnki.jsjtu.2019.311
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ZHAO Ting1, WANG Shentao1, NIU Lin1, XI Peili2, CAI Yunze1()
Received:
2019-10-29
Online:
2020-12-01
Published:
2020-12-31
Contact:
CAI Yunze
E-mail:yzcai@sjtu.edu.cn
CLC Number:
ZHAO Ting, WANG Shentao, NIU Lin, XI Peili, CAI Yunze. Detection Algorithm of Ship Wake in SAR Images[J]. Journal of Shanghai Jiao Tong University, 2020, 54(12): 1259-1268.
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URL: https://xuebao.sjtu.edu.cn/EN/10.16183/j.cnki.jsjtu.2019.311
Tab.2
Evaluation index value before and after morphological component classification algorithm
图像 | EPI | ENL | F | β | PM | |||||
---|---|---|---|---|---|---|---|---|---|---|
原图 | 滤波后结构成分图 | 原图 | 滤波后结构成分图 | 原图 | 滤波后结构成分图 | 原图 | 滤波后结构成分图 | 原图 | 滤波后结构成分图 | |
— | 0.16 | 2.01 | 22.5 | — | 1.30 | 0.70 | 0.62 | — | 1.00 | |
— | 0.20 | 2.49 | 10.2 | — | 4.41 | 0.63 | 0.31 | — | 0.97 | |
— | 0.20 | 3.12 | 23.0 | — | 7.87 | 0.57 | 0.21 | — | 0.97 | |
— | 0.18 | 21.5 | 113.0 | — | 5.31 | 0.22 | 0.09 | — | 0.99 | |
— | 0.02 | 2.10 | 31.4 | — | 15.9 | 0.69 | 0.18 | — | 0.97 | |
— | 0.20 | 3.55 | 26.0 | — | 7.87 | 0.53 | 0.20 | — | 0.96 |
[1] | 鲁自立,贾鑫,朱卫纲,等.SAR图像相干斑抑制方法综述[J].兵器装备工程学报,2017, 38(6): 104-108. |
LU Zili, JIA Xin, ZHU Weigang, et al. Study on SAR image despeckling algorithm[J]. Journal of Ordnance Equipment Engineering, 2017, 38(6): 104-108. | |
[2] | 王宇航,范文义,张金虎. SAR图像滤波方法比较与分析[J].森林工程,2015, 31(3): 81-84. |
WANG Yuhang, FAN Wenyi, ZHANG Jinhu. The comparison and analysis of SAR image filtering methods[J]. Forest Engineering, 2015, 31(3): 81-84. | |
[3] | 刘帅奇,扈琪,刘彤,等. 合成孔径雷达图像去噪算法研究综述[J].兵器装备工程学报,2018, 39(12): 106-112. |
LIU Shuaiqi, HU Qi, LIU Tong, et al. Review on synthetic aperture radar image denoising algorithms[J]. Journal of Ordnance Equipment Engineering, 2018, 39(12): 106-112. | |
[4] | LIU S, LIU M, LI P, et al. SAR image denoising via sparse representation in shearlet domain based on continuous cycle spinning[J]. IEEE Transactions on Geoscience and Remote Sensing, 2017, 55(5): 2985-2992. |
[5] | DING Y, SELESNICK I W. Artifact-free wavelet denoising: Non-convex sparse regularization, convex optimization[J]. IEEE Signal Processing Letters, 2015, 22(9): 1364-1368. |
[6] | TAN C, WEI Z H, WU Z B, et al. Parallel optimization of K-SVD algorithm for image denoising based on Spark[C]∥2016 IEEE 13th International Conference on Signal Processing (ICSP). Chengdu: IEEE, 2016: 820-825. |
[7] | XU B, CUI Y, LI Z H, et al. An iterative SAR image filtering method using nonlocal sparse model[J]. IEEE Geoscience and Remote Sensing Letters, 2015, 12(8): 1635-1639. |
[8] | SANG C W, SUN H. Two-step sparse decomposition for SAR image despeckling[J]. IEEE Geoscience and Remote Sensing Letters, 2017, 14(8): 1263-1267. |
[9] | XU Z Z, SHIN B S, KLETTE R. Accurate and robust line segment extraction using minimum entropy with hough transform[J]. IEEE Transactions on Image Processing, 2015, 24(3): 813-822. |
[10] | JAFARI-KHOUZANI K, SOLTANIAN-ZADEH H. Radon transform orientation estimation for rotation invariant texture analysis[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2005, 27(6): 1004-1008. |
[11] | AI J Q, QI X Y, YU W D, et al. A novel ship wake CFAR detection algorithm based on SCR enhancement and normalized Hough transform[J]. IEEE Geoscience and Remote Sensing Letters, 2011, 8(4): 681-685. |
[12] | 贾延明,张永涛. 基于Hough变换的舰船尾迹检测研究[J]. 舰船科学技术,2016, 38(4): 19-21. |
JIA Yanming, ZHANG Yongtao. Research on ship wake detection based on Hough transform[J]. Ship Science and Technology, 2016, 38(4): 19-21. | |
[13] | BIONDI F. Low-rank plus sparse decomposition and localized radon transform for ship-wake detection in synthetic aperture radar images[J]. IEEE Geoscience and Remote Sensing Letters, 2018, 15(1): 117-121. |
[14] | 江源,李健伟. 基于局部脊波变换的SAR图像舰船尾迹检测方法[J]. 舰船科学技术,2015, 37(11): 146-150. |
JIANG Yuan, LI Jianwei. A method of ship wake detection in SAR imagery based on localized ridgelet transform[J]. Ship Science and Technology, 2015, 37(11): 146-150. | |
[15] | 牛林. SAR图像相干斑抑制及舰船尾迹检测方法研究[D]. 上海: 上海交通大学,2019. |
NIU Lin. SAR Image despeckling and ship wake detection methods[D]. Shanghai: Shanghai Jiao Tong University, 2019. | |
[16] | 杨国铮,禹晶,肖创柏,等. 基于形态字典学习的复杂背景SAR图像舰船尾迹检测[J]. 自动化学报,2017, 43(10): 1713-1725. |
YANG Guozheng, YU Jing, XIAO Chuangbai, et al. Ship wake detection in SAR images with complex background using morphological dictionary learning[J]. Acta Automatica Sinica, 2017, 43(10): 1713-1725. | |
[17] | WEI L H, BALZ T, ZHANG L, et al. A novel fast approach for SAR tomography: Two-step iterative shrinkage/thresholding[J]. IEEE Geoscience and Remote Sensing Letters, 2015, 12(6): 1377-1381. |
[18] | WAKIN M B. Sparse image and signal processing: Wavelets, curvelets, morphological diversity(Starck, J.- L.,et al;2010) [Book Reviews] [J]. IEEE Signal Processing Magazine, 2011, 28(5): 144-146. |
[19] | 邹焕新,匡纲要,郁文贤,等. 基于特征空间决策的SAR图像舰船尾迹检测算法[J]. 系统工程与电子技术,2004, 26(6): 726-730. |
ZOU Huanxin, KUANG Gangyao, YU Wenxian, et al. Detection algorithm of ship wakes from SAR image based on feature space decision[J]. Systems Engineering and Electronics, 2004, 26(6): 726-730. | |
[20] | ZHENG Y, FAN R L, QIU C L, et al. An improved algorithm for peak detection in mass spectra based on continuous wavelet transform[J]. International Journal of Mass Spectrometry, 2016, 409: 53-58. |
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