用于自动识别遥感图像路网信息的改进模糊连接度方法

郑瑾; 柳肃; 孙炜

doi:10.11999/JEIT150563

用于自动识别遥感图像路网信息的改进模糊连接度方法

doi: 10.11999/JEIT150563

郑瑾¹,
柳肃¹,
孙炜²

1.
(湖南大学建筑学院长沙 410082) ②(湖南大学电气与信息工程学院长沙 410082)

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- 被引次数: 0
出版历程
- 收稿日期: 2015-05-12
- 修回日期: 2015-10-19
- 刊出日期: 2016-02-19

An Improved Fuzzy Connectedness Method to Recognize Automatically the Road Network Information from Remote Sensing Image

1.
(College of Architecture, Hunan University, Changsha 410082, China)
2.
(College of Electrical and Information Engineering, Hunan University, Changsha 410082, China)

摘要

摘要: 针对遥感图像中路网信息的自动识别问题，该文将小波模极大值边缘检测方法和模糊连接度方法结合，提出一种改进的模糊连接度方法。采用小波模极大值边缘检测方法进行模糊连接度种子点的自动选择，解决传统模糊连接度理论中种子点难以自动选择的问题。在此基础上，对传统的模糊相似度计算公式进行简化，在保证路网识别准确性的同时，大大减少了计算量。采用来自Quickbird高分辨商业遥感卫星的3组影像进行实验，验证了该文提出的路网识别方法具有较高的准确性和计算速度。
- 遥感图像 /
- 路网信息识别 /
- 模糊连接度 /
- 小波模极大值 /
- 图像边缘检测
Abstract: To recognize automatically road network from remote sensing image, an improved fuzzy connectedness method is proposed by combining traditional fuzzy connectedness theory with wavelet modulus maximum algorithm. The wavelet modulus maximum image edge detection algorithm is used to solve the problem of selecting seed points automatically in traditional fuzzy connectedness theory. On this basis, traditional fuzzy similarity computational formula is simplified. This can reduce the cost of calculation greatly without reducing the recognition accuracy. Three high-resolution remote sensing images from the satellite Quickbird are processed in the experiments to prove the effectiveness of the proposed method. The results show that the proposed road network recognition method has high accuracy and rapid computation speed.
- Remote sensing image /
- Road network information recognition /
- Fuzzy connectedness /
- Wavelet modulus maximum /
- Image edge detection

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参考文献(25)

王雷, 冯学智, 都金康, 等. 遥感影像分类与地学知识发现的集成研究[J]. 地理研究, 2001, 20(5): 637-643.

WANG Lei, FENG Xuezhi, DU Jinkang, et al. On the integration between image classification and geographical knowledge discovery[J]. Geographical Research, 2001, 20(5): 637-643.

林祥国, 张继贤, 李海涛, 等. 基于T型模板匹配半自动提取高分辨率遥感影像带状道路[J]. 武汉大学学报信息科学版, 2009, 34(3): 293-296.

LIN Xiangguo, ZHANG Jixian, LI Haitao, et al. Semi- automatic extraction of ribbon road from high resolution remotely sensed imagery by a T-shaped template matching [J]. Geomatics and Information Science of Wuhan University, 2009, 34(3): 293-296.

LIU Junyi, SUI Haigang, TAO Mingming, et al. Road extraction from SAR imagery based on an improved particle filtering and snake model[J]. International Journal of Remote Sensing, 2013, 34(22): 8199-8214.

李利伟, 刘吉平, 尹作为. 基于数学形态学的高分辨率遥感影像道路提取[J]. 遥感信息, 2005(3): 9-11.

LI Liwei, LIU Jiping, and YIN Zuowei. Road extraction from high resolution remote sensing image based on mathematic morphology[J]. Remote Sensing Information, 2005(3): 9-11.

MATKAN A A, HAJEB M, and SADEGHIAN S. Road extraction from Lidar data using support vector machine classification[J]. Photogrammetric Engineering and Remote Sensing, 2014, 80(5): 409-422.

MA Hairong, CHENG Xinwen, WANG Xin, et al. Road information extraction from high resolution remote sensing images based on threshold segmentation and mathematical morphology[C]. Proceedings of the 2013 6th International Congress on Image and Signal Processing, Hangzhou,?2013,?2: 626-630.

劳小敏, 张哲伦, 张丰, 等. 基于邻域总变分和边缘检测的遥感影像道路提取[J]. 浙江大学学报(理学版), 2013, 40(6): 705-709.

LAO Xiaomin, ZHANG Zhelun, ZHANG Feng, et al. Road extraction from remote sensing images based on neighborhood total variation and edge detection[J]. Journal of Zhejiang University (Science Edition), 2013, 40(6): 705-709.

宁亚辉, 雷小奇, 王功孝, 等. Dempster-Shafe证据融合形状特征的高分辨率遥感图像道路信息提取[J]. 中国图象图形学报, 2011,16(12): 2183-2190.

NING Yahui, LEI Xiaoqi, WANG Gongxiao, et al. Road extraction from high-resolution remote sensing images based on Dempster-Shafer evidence theory and fusion shape features[J]. Journal of Image and Graphics, 2011, 16(12): 2183-2190.

ROSENFELD A. Fuzzy digital topology[J]. Inform Control, 1979, 40: 76-87.

UDUPA K J and SAMARASEKERA S. Fuzzy connectedness and object definition: theory, algorithm and application in image segmentation[J]. Graphical Model and Image Processing, 1995, 58(3): 246-261.

魏敏, 李朝峰. 基于模糊连接度的卫星图像道路提取新方法[J]. 计算机工程与应用, 2006, 42(13): 230-232.

WEI Min and LI Chaofeng. Relative-fuzzy-connectedness based road extraction new method from remote sensing image[J]. Computer Engineering and Application, 2006, 42(13): 230-232.

钱厦, 盛庆红, 宗鹏. 基于纹理-模糊连接度的遥感影像道路自动提取[J]. 计算机工程与应用, 2011, 47(34): 187-189.

QIAN Xia, SHENG Qinghong, and ZONG Peng. Automatic road extraction from remote sensing images based on texture-fuzzy connectedness[J]. Computer Engineering and Applications, 2011, 47(34): 187-189.

吴光文, 王昌明, 包建东, 等. 基于自适应阈值函数的小波阈值去噪方法[J]. 电子与信息学报, 2014, 36(6): 1340-1347. doi: 10.3724/SP.J.1146.2013.00798.

WU Guangwen, WANG Changming, BAO Jiandong, et al. A wavelet threshold de-noising algorithm based on adaptive threshold function[J]. Journal of Electronics Information Technology, 2014, 36(6): 1340-1347. doi: 10.3724/SP.J.1146. 2013.00798.

郝岩, 许建楼. 迭代重加权的小波变分修复模型[J]. 电子与信息学报, 2013, 35 (12) : 2916-2920. doi: 10.3724/SP.J.1146. 2012.01561.

HAO Yan and XU Jianlou. Iteratively reweighted based wavelet variational inpainting model[J]. Journal of Electronics Information Technology, 2013, 35(12): 2916-2920. doi: 10.3724/SP.J.1146.2012.01561.

田岩岩, 齐国清. 基于小波变换模极大值的边缘检测方法[J]. 大连海事大学学报, 2007, 33(1): 102-106.

TIAN Yanyan and QI Guoqing. Edge detection based on wavelet transfer module maxima[J]. Journal of Dalian Maritime University, 2007, 33(1): 102-106.

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