| 光谱学与光谱分析 |
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| Extraction of Bridge over Water from High-Resolution Remote Sensing Images Based on Spectral Characteristics of Ground Objects |
| CHEN Chao1, QIN Qi-ming1*, CHEN Li1, WANG Jin-liang1, LIU Ming-chao1, WEN Qi2 |
1. Institute of Remote Sensing and Geographic Information System, Peking University, Beijing 100871, China
2. National Disaster Reduction Center of China(NDRCC), Ministry of Civil Affairs, Beijing 100124, China |
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Abstract Bridge over water is a typical man-made target. Using the high-resolution optical remote sensing images, to extract bridge over water appears significant for civilian, military, and commerce. First, in the present paper, according to the spectral characteristics of water in near-infrared spectrum, water information is extracted using the iterative method for the threshold value, to limit the spatial extent of bridge extraction. Second, mathematical morphology is performed on the water information, to connect the separated water bodies due to the presence of bridges on the image. Third, overlay analysis is conducted between the two images before and after mathematical morphology operations, to extract the potential bridge. Finally, based on priori-knowledge of the bridge, the false bridge is removed. In this paper an experimental area is selected to verify the effectiveness and applicability of the method. Experimental results show that the method is effective for bridge extraction over water by using high-resolution remote sensing images based on spectral characteristics of ground objects.
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Received: 2012-08-09
Accepted: 2012-11-28
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Corresponding Authors:
QIN Qi-ming
E-mail: qmqinpku@163.com
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[1] WU Fan, WANG Chao, ZHANG Hong, et al(吴 樊, 王 超, 张 红, 等). Journal of Electronics & Information Technology(电子与信息学报), 2006, 28(4): 587.
[2] Luo J, Ming D, Liu W, et al. International Journal of Remote Sensing, 2007, 28(16): 3633.
[3] Chaudhuri D, Samal A. IEEE Transactions on Geoscience and Remote Sensing, 2008, 46(9): 2720.
[4] ZHAO Shu-he(赵书河). Earth Science Frontiers(地学前缘), 2006, 13(3): 60.
[5] CHEN Sheng, WANG Hong, SHEN Zhan-feng, et al(陈 生, 王 宏, 沈占峰, 等). Journal of Image and Graphics(中国图象图形学报), 2009, 14(4): 585.
[6] WU Hao, LIU Zheng-kai, ZHANG Rong(吴 皓, 刘政凯, 张 荣). Journal of Remote Sensing(遥感学报), 2003, 7(6): 478.
[7] Trias-San R, Lomenie N. 3rd International Conference on Computer Vision Systems, 2003, 172.
[8] YUAN Xiao-hui, JIN Li-zuo, LI Jiu-xian, et al(袁晓辉, 金立左, 李久贤, 等). Journal Infrared and Millimeter Waves(红外与毫米波学报), 2003, 22(5): 331.
[9] JIANG Li-li, SHI Ce, YANG Hai-bo, et al(姜骊黎, 史 册, 杨海波, 等). Pattern Recognition and artificial Intelligence(模式识别与人工智能), 2000, 13(2): 214.
[10] Vergnet R L, Saint-Marc P, Jezouin J L. Automated CAD-Based Vision, 1991, 2(3): 176.
[11] PENG Bi-fa, TAN Yi-hua, TAO Chao, et al(彭碧发, 谭毅华, 陶 超, 等). Journal of Applied Sciences(应用科学学报), 2010, 28(4): 354.
[12] XU Sheng-rong, LI Zhong-xing(徐胜荣, 李忠兴). Journal of Zhejiang University·Natural Science(浙江大学学报·自然科学版), 1995, 29(3): 275.
[13] MEI An-xin, PENG Wang-lu, QIN Qi-ming, et al(梅安新, 彭望琭, 秦其明, 等). Introductory Remote Sensing(遥感导论). Beijing: Higher Education Press(北京: 高等教育出版社), 2001.
[14] ZHOU Lu-lu(周璐璐). Research on Multi-Region Image Segmentation(图像的多区域分割研究). Harbin: Harbin Engineering University(哈尔滨: 哈尔滨工程大学), 2005.
[15] Haralick R M, Sternberg S R, Zhuang X H. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1987, PAMI-9(4), 532.
[16] Sonka M, Hlavac V, Boyle R. Image Processing, Analysis, and Machine Vision(Third Edition). CL-Engineering, 2008.
[17] CHEN Chao, QIN Qi-ming, WANG Jin-liang,et al(陈 超, 秦其明, 王金梁, 等). Transactions of the Chinese Society of Agricultural Engineering(农业工程学报), 2011, 27(10): 95.
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