基于增强指数加权均值比的SAR图像边缘检测算法

胡炎; 单子力; 高峰

doi:10.11999/JEIT170806

基于增强指数加权均值比的SAR图像边缘检测算法

doi: 10.11999/JEIT170806

基金项目:

中国电子科技集团公司航天信息应用技术重点实验室开放基金(EX166290025)

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- 被引次数: 0
出版历程
- 收稿日期: 2017-08-14
- 修回日期: 2018-02-01
- 刊出日期: 2018-05-19

Edge Detection Algorithm for SAR Image Based on Enhanced ROEWA

Funds:

The Open Fundation of CETC Key Laboratory of Aerospace Information Applications (EX166290025)

摘要

摘要: 研究学者们认为指数加权均值比(ROEWA)算子存在无法计算SAR图像边缘方向的缺陷。为此，进行了一些通过方向滤波器为ROEWA算法施加方向的工作。该文对ROEWA算法进行了深入的探讨和分析，通过对ROEWA算法卷积过程的进一步推导，获得了ROEWA算法像素级的观测公式。根据推导结果，提出了一种增强的ROEWA(EROEWA)边缘检测算法。首先，利用新的卷积策略将ROEWA的公式项解耦，获得了4个方向的指数加权均值；然后把SAR图像旋转45，再利用新的卷积策略获取额外的4个方向的指数加权均值；最后，将8个方向的指数加权均值表示成8个矢量，通过矢量合成求出边缘强度和边缘方向。实验结果表明，提出的EROEWA算法不仅具有优秀的边缘方向计算能力，与ROEWA算法相比，边缘强度的提取也有显著的增强效果。
- 指数加权均值比 /
- 观测公式 /
- 矢量 /
- 增强指数加权均值比
Abstract: Researchers generally consider that Ratio Of Exponentially Weighted Averages (ROEWA) can not calculate the edge directions of SAR images. Therefore, some directional filters are used to add directions to ROEWA. In this paper, an Enhanced ROEWA (EROEWA) algorithm is proposed. Through the further derivation of the ROEWA algorithm convolution process, the pixel-level observation formula of ROEWA algorithm is obtained. First, a new convolution strategy is used to decouple the ROEWA formula to obtain exponentially weighted averages over the four directions. Second, the SAR images are rotated by 45 and exponentially weighted averages of the four additional directions are calculated. Finally, exponentially weighted averages of eight directions are expressed as eight vectors, and edge intensity and direction are solved by vector synthesis. Experimental results show that the EROEWA has a significant enhancement effect on the edge intensity and the direction.
- Ratio Of Exponentially Weighted Averages (ROEWA) /
- Observation formula /
- Vector /
- Enhanced Ratio Of Exponentially Weighted Averages (EROEWA)

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参考文献(26)

刘伟, 陈建宏, 曾阳帆, 等. 基于混合模型的多尺度水平集高分辨率SAR图像水体分割[J]. 信息工程大学学报, 2016, 17(2): 178-183.

LIU Wei, CHEN Jianhong, ZENG Yangfan, et al. Water segmentation in high resolution SAR images using multi-scale level set method based on hybrid model[J]. Journal of Information Engineering University, 2016, 17(2): 178-183.

ZHANG Xiaoqiang, DONG Ganggang, XIONG Boli, et al. Refined segmentation of ship target in SAR images based on GVF snake with elliptical constraint[J]. Remote Sensing Letters, 2017, 8(8): 791-800. doi: 10.1080/2150704X.2017. 1327124.

CHANGLEI Dongye and ZHENG Yongguo. An efficient global minimization model for synthetic aperture radar image segmentation[J]. Journal of Computational and Theoretical Nanoscience, 2016, 13(3): 1846-1851. doi: 10.1166/jctn.2016. 5122.

吴鹏, 于秋则, 闵顺新, 等. 鲁棒KAZE算法的SAR图像配准[J]. 科学技术与工程, 2016, 16(28): 101-109. doi: 10.3969/j.issn.1671- 1815.2016.28.018.

WU Peng, YU Qiuze, MIN Shunxin, et al. Robust SAR image registration based on KAZE algorithm[J]. Science Technology and Engineering, 2016, 16(28): 101-109. doi: 10.3969/j.issn.1671- 1815.2016.28.018.

张岩, 李建增, 李德良, 等. 基于特征的遥感图像匹配技术研究[J].无线电工程, 2016, 46(2): 61-64. doi: 10.3969/j.issn. 1003-3106.2016.02.15.

ZHANG Yan, LI Jianzeng, LI Deliang, et al. Research of remote sensing image matching based on key points[J]. Radio Engineering, 2016, 46(2): 61-64. doi: 10.3969/j.issn.1003- 3106.2016.02.15.

TOUZI R, LOPES A, and BOUSQUET P. A statistical and geometrical edge detector for SAR images[J]. IEEE Transactions on Geoscience and Remote Sensing, 1988, 26(6): 764-773. doi: 10.1109/36.7708.

FJORTOFT R, LOPES A, MARTHON P, et al. An optimal multidege detector for SAR image segmentation[J]. IEEE Transactions on Geoscience and Remote Sensing, 1998, 36(3): 793-802. doi: 10.1109/36.673672.

刘夯, 何政伟, 赵银兵, 等. SAR图像ROEWA边缘检测器的改进[J]. 遥感学报, 2017, 21(2): 273-279.

LIU Hang, HE Zhengwei, ZHAO Yinbing, et al. The improvement of SAR picture edge detector[J]. Journal of Remote Sensing, 2017, 21(2): 273-279.

安成锦, 辛玉林, 陈曾平. 基于改进ROEWA算子的SAR图像边缘检测方法[J].中国图象图形学报, 2011, 16(8): 1484-1488.

AN Chengjin, XIN Yulin, and CHEN Zengping. Edge detection algorithm for SAR image based on improved ROEWA[J]. Journal of Image and Graphics, 2011, 16(8): 1484-1488.

杨道莲, 鲁昌华, 张金良, 等. 基于ROEWA与Hough变换的SAR图像边缘检测[J]. 电子测量与仪器学报, 2013, 27(6): 543-547. doi: 10.3724/SP.J.1187.2013.00543.

YANG Daolian, LU Changhua, ZHANG Jinliang, et al. Edge detection in SAR images based on ROEWA and Hough transform[J]. Journal of Electronic Measurment and Instrument, 2013, 27(6): 543-547. doi: 10.3724/SP.J.1187. 2013.00543.

刘帅奇, 胡绍海, 肖扬, 等. 基于局部混合滤波的SAR图像边缘检测[J]. 电子与信息学报, 2015, 35(5): 1120-1127. doi: 10.3724/SP.J.1146.2012.01198.

LIU Shuaiqi, HU Shaohai, XIAO Yang, et al. SAR image edge detection based on local hybrid filter[J]. Journal of Electronics Information Technology, 2015, 35(5): 1120-1127. doi: 10.3724/SP.J.1146.2012.01198.

贾承丽, 匡纲要. 一种改进的SAR图像边缘检测方法[J]. 电子与信息学报, 2007, 29(2): 379-382. doi: 10.3724/SP.J.1146. 2005.00824.

JIA Chengli and KUANG Gangyao. An improved edge detection algorithm for SAR images[J]. Journal of Electronics Information Technology, 2007, 29(2): 379-382. doi: 10.3724 /SP.J.1146.2005.00824.

孔莹莹, 周建江, 张焱. 基于ROEWA和Gabor滤波的SAR图像边缘提取[J]. 光电子?激光, 2010, 21(8): 1257-1263. doi: 10.16136/j.joel.2010.08.024.

KONG Yingying, ZHOU Jianjiang, and ZHANG Yan. A new edge detection method for SAR image based on ROEWA and gabor filter[J]. Journal of OptoelectronicsLaser, 2010, 21(8): 1257-1263. doi: 10.16136/j.joel.2010.08.024.

熊博莅. SAR图像配准及变化检测技术研究[D]. [博士论文], 国防科学技术大学, 2012.

XIONG Boli. Study of registration and change detection in SAR images[D]. [Ph.D. dissertation], National University of Defense Technology, 2012.

朱磊. 合成孔径雷达图像相干斑抑制方法研究[D]. [博士论文], 西安电子科技大学, 2013.

ZHU Lei. Study on speckle reduction methods for synthetic aperture radar images[D]. [Ph.D. dissertation], Xidian University, 2013.

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