Fusion of Pixel-based and Object-based Features for Road Centerline Extraction from High-resolution Satellite Imagery

doi:10.11947/j.AGCS.2016.20160158

Abstract

Abstract:

A novel approach for road centerline extraction from high spatial resolution satellite imagery is proposed by fusing both pixel-based and object-based features. Firstly, texture and shape features are extracted at the pixel level, and spectral features are extracted at the object level based on multi-scale image segmentation maps. Then, extracted multiple features are utilized in the fusion framework of Dempster-Shafer evidence theory to roughly identify the road network regions. Finally, an automatic noise removing algorithm combined with the tensor voting strategy is presented to accurately extract the road centerline. Experimental results using high-resolution satellite imageries with different scenes and spatial resolutions showed that the proposed approach compared favorably with the traditional methods, particularly in the aspect of eliminating the salt noise and conglutination phenomenon.

Key words: high resolution remote sensing, multiple feature fusion, road extraction, pixel-based, object-based

CLC Number:

P237

CAO Yungang, WANG Zhipan, SHEN Li, XIAO Xue, YANG Lei. Fusion of Pixel-based and Object-based Features for Road Centerline Extraction from High-resolution Satellite Imagery[J]. Acta Geodaetica et Cartographica Sinica, 2016, 45(10): 1231-1240.

References

[1] 史文中, 朱长青, 王昱. 从遥感影像提取道路特征的方法综述与展望[J]. 测绘学报, 2001, 30(3):257-262. DOI:10.3321/j.issn:1001-1595.2001.03.014. SHI Wenzhong, ZHU Changqing, WANG Yu. Road Feature Extraction from Remotely Sensed Image:Review and Prospects[J]. Acta Geodaetica et Cartographica Sinica, 2001, 30(3):257-262. DOI:10.3321/j.issn:1001-1595.2001.03.014.
[2] 傅罡, 赵红蕊, 李聪, 等. 曲折道路遥感影像圆投影匹配改进追踪法[J]. 测绘学报, 2014, 43(7):724-730. DOI:10.13485/j.cnki.11-2089.2014.0097. FU Gang, ZHAO Hongrui, LI Cong, et al. A Method by Improved Circular Projection Matching of Tracking Twisty Road from Remote Sensing Imagery[J]. Acta Geodaetica et Cartographica Sinica, 2014, 43(7):724-730. DOI:10.13485/j.cnki.11-2089.2014.0097.
[3] 李晓峰, 张树清, 韩富伟, 等. 基于多重信息融合的高分辨率遥感影像道路信息提取[J]. 测绘学报, 2008, 37(2):178-184. DOI:10.3321/j.issn:1001-1595.2008.02.009. LI Xiaofeng, ZHANG Shuqing, HAN Fuwei, et al. Road Extraction from High-resolution Remote Sensing Images Based on Multiple Information Fusion[J]. Acta Geodaetica et Cartographica Sinica, 2008, 37(2):178-184. DOI:10.3321/j.issn:1001-1595.2008.02.009.
[4] 李怡静, 胡翔云, 张剑清, 等. 影像与LiDAR数据信息融合复杂场景下的道路自动提取[J]. 测绘学报, 2012, 41(6):870-876. LI Yijing, HU Xiangyun, ZHANG Jianqing, et al. Automatic Road Extraction in Complex Scenes Based on Information Fusion from LiDAR Data and Remote Sensing Imagery[J]. Acta Geodaetica et Cartographica Sinica, 2012, 41(6):870-876.
[5] 黄昕, 张良培, 李平湘. 融合形状和光谱的高空间分辨率遥感影像分类[J]. 遥感学报, 2007, 11(2):193-200. HUANG Xin, ZHANG Liangpei, LI Pingxiang. Classification of High Spatial Resolution Remotely Sensed Imagery Based on the Fusion of Spectral and Shape Features[J]. Journal of Remote Sensing, 2007, 11(2):193-200.
[6] CHAUDHURI D, KUSHWAHA N K, SAMAL A. Semi-Automated Road Detection from High Resolution Satellite Images by Directional Morphological Enhancement and Segmentation Techniques[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2012, 5(5):1538-1544.
[7] 雷小奇, 王卫星, 赖均. 一种基于形状特征进行高分辨率遥感影像道路提取方法[J]. 测绘学报, 2009, 38(5):457-465. DOI:10.3321/j.issn:1001-1595.2009.05.013. LEI Xiaoqi, WANG Weixing, LAI Jun. A Method of Road Extraction from High-resolution Remote Sensing Images Based on Shape Features[J]. Acta Geodaetica et Cartographica Sinica, 2009, 38(5):457-465. DOI:10.3321/j.issn:1001-1595.2009.05.013.
[8] MIAO Zelang, SHI Wenzhong, GAMBA P, et al. An Object-based Method for Road Network Extraction in VHR Satellite Images[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2015, 8(10):4853-4862.
[9] HUANG Xin, ZHANG Liangpei. Road Centreline Extraction from High-resolution Imagery Based on Multiscale Structural Features and Support Vector Machines[J]. International Journal of Remote Sensing, 2009, 30(8):1977-1987.
[10] LI Mengmeng, STEIN A, BIJKER W, et al. Region-based Urban Road Extraction from VHR Satellite Images Using Binary Partition Tree[J]. International Journal of Applied Earth Observation and Geoinformation, 2016, 44:217-225.
[11] MIAO Zelang, SHI Wenzhong, ZHANG Hua, et al. Road Centerline Extraction from High-resolution Imagery Based on Shape Features and Multivariate Adaptive Regression Splines[J]. IEEE Geoscience and Remote Sensing Letters, 2013, 10(3):583-587.
[12] 李刚, 万幼川. 基于改进的像素级和对象级的遥感影像合成分类[J]. 测绘学报, 2012, 41(6):891-897. LI Gang, WAN Youchuan. Synthesis Classification of Remote Sensing Image Based on Improved Pixel-level and Object-Level Methods[J]. Acta Geodaetica et Cartographica Sinica, 2012, 41(6):891-897.
[13] 张春森, 郑艺惟, 黄小兵, 等. 高光谱影像光谱-空间多特征加权概率融合分类[J]. 测绘学报, 2015, 44(8):909-918. DOI:10.11947/j.AGCS.2015.20140544. ZHANG Chunsen, ZHENG Yiwei, HUANG Xiaobing, et al. Hyperspectral Image Classification Based on the Weighted Probabilistic Fusion of Multiple Spectral-spatial Features[J]. Acta Geodaetica et Cartographica Sinica, 2015, 44(8):909-918. DOI:10.11947/j.AGCS.2015.20140544.
[14] OJALA T, PIETIKAINEN M, MAENPAA I, et al. Multiresolution Gray-scale and Rotation Invariant Texture Classification with Local Binary Patterns[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2002, 24(7):971-987.
[15] HUANG Xin, ZHANG Liangpei, LI Pingxiang. Classification and Extraction of Spatial Features in Urban Areas Using High-resolution Multispectral Imagery[J]. IEEE Geoscience and Remote Sensing Letters, 2007, 4(2):260-264.
[16] FRANGI A F, NIESSEN W J, VINCKEN K L, et al. Multiscale Vessel Enhancement Filtering[M]//WELLS W M, COLCHESTER A, DELP S L. Medical Image Computing and Computer-assisted Intervention. Berlin:Springer, 1998:130-137.
[17] HAY G J, BLASCHKE T, MARCEAU D J, et al. A Comparison of Three Image-object Methods for the Multiscale Analysis of Landscape Structure[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2003, 57(5-6):327-345.
[18] ZHOU Qifeng, ZHOU Hao, ZHOU Qingqing, et al. Structural Damage Detection Based on Posteriori Probability Support Vector Machine and Dempster-shafer Evidence Theory[J]. Applied Soft Computing, 2015, 36:368-374.
[19] CHANG C C, LIN C J. LibSVM:A Library for Support Vector Machines[J]. ACM Transactions on Intelligent Systems and Technology, 2006, 2(3):27.
[20] PLATT J C. Probabilistic Outputs for Support Vector Machines and Comparisons to Regularized Likelihood Methods[M]//SMOLA A J, BARTLETT P, SCHÖLKOPF B, et al. Advances in Large Margin Classifiers. Cambridge, MA:MIT Press, 1999.
[21] OTSU N. A Threshold Selection Method from Gray-level Histograms[J]. IEEE Transactions on Systems, Man, and Cybernetics, 1979, 9(1):62-66.
[22] 沈大江, 王峥, 田金文. 基于张量投票算法的SAR图像道路提取方法[J]. 华中科技大学学报(自然科学版), 2009, 37(4):51-54.SHEN Dajiang,WANG Zheng,TIAN Jinwen.Road Networks Detection in SAR Images Using Tensor Voting Algorithm[J].Journal of Huazhong University of Science&Technology (Natural Science Edition),2009,37(4):51-54.
[23] CHEN Qiang,SUN Quansen,HENG P A,et al.A Double-threshold Image Binarization Method Based on Edge Detector Pattern Recognition[J].Pattern Recognition,2008,41(4):1254-1267.
[24] HEIPKE C,MAYER H,WIEDEMANN C,et al.Evaluation of Automatic Road Extraction[C]//Proceedings of the International Archives of Photogrammetry,Remote Sensing and Spatial Information Sciences.Tokyo:ISPRS,1997:151-160.
[25] SHI Wenzhong,MIAO Zelang,DEBAYLE J.An Integrated Method for Urban Main-road Centerline Extraction from Optical Remotely Sensed Imagery[J].IEEE Transactions on Geoscience and Remote Sensing,2014,52(6):3359-3372.