一个从多波段遥感图像提取道路网的算法

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一个从多波段遥感图像提取道路网的算法
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                        蔡涛蔡涛
国防科学技术大学 ATR国防科技重点实验室,湖南长沙 410073
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王润生王润生
国防科学技术大学 ATR国防科技重点实验室,湖南长沙 410073
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基金项目:国防科工委卫星应用技术重点资助项目(Y96-12)

An Algorithm for Extracting Road Network from Multi-Band Remote Sensing Images

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CAI Tao
CAI Tao

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WANG Run sheng
WANG Run sheng

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摘要:

提出一个从多波段遥感图像中提取道路网的算法.首先,从多波段图像中提取直线段和平行线段,再进行融合处理,以克服图像中道路表示的不精确性.然后根据线段的局部特性,识别与道路约束模型符合程度好的路段.最后根据道路网的全局连接约束,识别与道路约束模型符合程度较弱的路段.该方法应用于三波段的卫星遥感图像,处理结果表明该方法是有效的.

关键词:多波段图像;遥感;识别;道路网;融合;线段

Abstract:

An algorithm for extracting road network by fusion of multi-band remote sensing images is presented in this paper. Firstly, straight lines and parallel lines are extracted from multi-band images and fused in order to overcome the uncertainty of the description of roads in the images. Secondly, the roads that fit well with the constraints of the model of road are recognized according to the local property of lines. Eventually, the roads that can not be fit well with the constraints of the model of road are recognized by suing the global connection constraints of road network. The algorithm is applied on 3-band remote sensing images, and the effectiveness is shown by the results.

Key words:multi band image; remote sensing; recognition; road network; fusion; lines

参考文献

[1] Geman, D., Jedynak, B. An active testing model for tracking roads in satellite images. IEEE Transactions on Pattern Analysis and Machine In telligence, 1996,18(1):1～13.

[2] Barzohar, M., Cooper, D.B. Automatic finding of main roads in aeria limages by using geometric-stochastic models and estimation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1996,18(7):707～721.

[3] Nevatia, R., Babu, K.R. Linear feature extraction and description. Computer Graphics and Image Processing, 1980,13(3):257～269.

[4] Aviad, Z., Carnine, J.P.D. Road finding for road network extraction . Technical Report, CMU-CS-88-157, Pittsburgh: CS CMU, 1988.

[5] Mckeown, D.M., Denlinger, L. Cooperative methods for road tracing in aerial imagery. In: Jain, R., ed. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Ann Arbor: Computer Society Press, 1988. 662～672.

[6] Karathanassi, V., Iossifidis, CHR., Rokos, D. A thinning-based method for recognizing and extracting peri-urban road networks from SPOT panchromatic images. International Journal of Remote Sensing, 1999,20(1):153～168.

[7] Duda, R.O., Hart, P.E. Pattern Classification and Scene Analysis. New York: John Wiley and Sons, Inc. 1973.

[8] Fischeler, M.A., Wolk, H. Detection of roads and linear structures in low-resolution aerial imagery using a multi-source knowledge integration technique. Computer Graphics and Image Processing, 1981,15(3):201～223.

[9] Geiger, D., Gupta, A., Costa, L.A., et al. Dynamic programming for detecting, tracking, and matching deformable contours. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1995,17(3):294～302.

[10] Wang, Run-sheng, Cai, Tao. Symbol-Based image fusion for object recognition. In: Arabnia, Hamid,R., Zhu, Dong-ping, eds. Proccedings of the International Conference on Multisource-Multisensor Information Fusion. Las Vegas: CSREA Press, 1998. 509～515.

[11] Wang, Run-sheng. Image Understanding. Changsha: Press of National University of Defence Technology, 1994. 31～86 (in Chinese).王润生.图像理解.长沙:国防科学技术大学出版,1994.31～86.

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蔡涛,王润生.一个从多波段遥感图像提取道路网的算法.软件学报,2001,12(6):943-948

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收稿日期:1999-12-13
最后修改日期:2000-03-06
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