Abstract
There is difficulty for distinguishing of river and shadow in Synthetic Aperture Radar (SAR) images. A method of river segmentation in SAR images based on wavelet energy and gradient is proposed in this paper. It mainly includes two algorithms: coarse segmentation and refined segmentation. Firstly, The river regions are coarsely segmented by the wavelet energy feature, and then refined segmented accurately by the gradient threshold which is got adaptively. The experimental results show the validity of the method, which provides a good foundation for targets detection above the river.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
Wu Fan, Wang Chao, Zhang Hong, et al. Knowledge-based bridge recognition in high resolution optical imagery. Journal of Electronics & Information Technology, 28(2006)4, 587–591 (in Chinese). 吴樊, 王超, 张红, 等. 基于知识的中高分辨率光学卫 星遥感影像桥梁目标识别研究. 电子与信息学报, 28(2006)4, 587–591.
Hou Biao, Liu Fang, and Jiao Li-cheng. Automatic segmentation and recognition of ports in high resolution SAR images. Journal of Infrared Millimeter Waves, 21(2002)5, 385–389 (in Chinese). 侯彪, 刘芳, 焦李成. 基于小波变换的高分辨SAR 港口目标自动分割. 红外与毫米波学报, 21(2002)5, 385–389.
Wu Hao, Liu Zheng-kai, and Zhang Rong. A study of bridge recognition from landsat TM images. Journal of Remote Sensing, 7(2003)6, 478–484 (in Chinese). 吴皓, 刘政凯, 张荣. TM 图像中桥梁目标识别方法的研究. 遥感学报, 7(2003)6, 478–484.
Nie Xuan, Zhao Rongchun, and Zhang Yanning. A new method for detection bridges automatically. Journal of Northwestern Polytechnical University, 21(2003)5, 599–602 (in Chinese). 聂烜, 赵荣椿, 张艳宁. 一种从航空图片中自动检测桥梁的方法. 西北工业大学学报, 21(2003)5, 599–602.
H. Chen, Z. K. Shen, and J. J. Shen. Method for searching bridge in IR images. IEEE Aerospace and Electronic System Magazine, 13(1998)7, 21–24.
Cheng Hui, Yu Qiuze, Liu Jian, et al. SVM-based detection of bridge object over water. Journal of Astronautics, 26(2005)5, 600–605 (in Chinese). 程辉, 于秋则, 柳健, 等. 基于SVM 的SAR 图像中水上桥梁目标的检测. 宇航学报, 26(2005)5, 600–605.
Steven Haker, Guillermo Sapiro, and Allen Tannenbaum. Knowledge-based segmentation of SAR data with learned priors. IEEE Transactions on Image Processing, 9(2000)2, 299–301.
Li Ying, Shi Qinfeng, Zhang Yanning, and Zhao Rongchun. Automatic segmentation for synthetic aperture radar images. Journal of Electronics & Information Technology, 28(2006)5, 932–935 (in Chinese). 李映, 史勤峰, 张艳宁, 赵荣椿. SAR 图像的自动分割方法研究. 电子与信息学报, 28(2006)5, 932-935.
I. Daubechies. The wavelet transform: time-frequency localization and signal analysis. IEEE Transactions on on Information Theory, 36(1990)5, 961–1005.
P. K. Sahoo, S. Soltani, A. K. C. Wong, et al. A survey of thresholding techniques. Computer Vision, Graphics, Image Processing, 41(1988)2, 233–260.
Author information
Authors and Affiliations
Corresponding author
Additional information
Support by the National Natural Science Foundation of China (NSFC) (No.60472072), the Specialized Research Foundation for the Doctoral Program of Higher Education (No.20040699034), the Aeronautical Science Foundation of China (No.05I53076), and the Yellow River Conservancy Commission (YRCC) Research on ecological improvement of the Yellow River (No.2004SZ01-04).
Communication author: Zhang Lili, born in 1982, female, master student.
About this article
Cite this article
Zhang, L., Zhang, Y., Wang, M. et al. Adaptive river segmentation in SAR images. J. Electron.(China) 26, 438–442 (2009). https://doi.org/10.1007/s11767-007-0113-1
Received:
Revised:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11767-007-0113-1