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  Publications 2016.... 2015.... 2014.... 2013.... 2012 .... Before2011

 

My Page@ cwang@googlescholar

My Researchgate Webpag @ cwang@researchgate

 


2016

    • Yu Y, *Li J, *Wen C, Guan H, Luo H, Wang C, 2016. Bag-of-visual-phrases and hierarchical deep models for traffic sign detection and recognition in mobile laser scanning data, ISPRS Journal of Photogrammetry and Remote Sensing, 113 (2016): 106–123 (Elsevier: SCI). http://rssi.xmu.edu.cn/img/iconPdf.pngpdf(6.12MB).
    • Chen Z, *Wang C, Wen C, Teng X, Chen Y, Guan H, Luo H, Cao L, Li J, 2016. Vehicle detection in high-resolution aerial images via sparse representation and superpixels, IEEE Transactions on Geoscience and Remote Sensing, 54(1): 103-116 (IEEE SCI/EI). http://rssi.xmu.edu.cn/img/iconPdf.pngpdf(2.49MB).
    • Luo H, *Wang C, *Wen C, Cai Z, Chen Z, Wang H, Yu Y, Li J, 2015. Patch-based semantic labeling of road scene using colorized mobile LiDAR point clouds, IEEE Transactions on Intelligent Transportation Systems, 10.1109/TITS.2015.2499196 (IEEE SCI/EI). http://rssi.xmu.edu.cn/img/iconPdf.pngpdf(4.70MB).
    • Wen C, Li J, Luo H, Yu Y, Cai Z, Wang H, *Wang C, 2016. Spatial-related traffic sign inspection for inventory purposes using mobile laser scanning data, IEEE Transactions on Intelligent Transportation Systems, 17(1): 27-37 (IEEE SCI/EI). http://rssi.xmu.edu.cn/img/iconPdf.pngpdf(4.19MB).

 

2015

    • Luo H, *Wang C, *Wen C, Cai Z, Chen Z, Wang H, Yu Y, Li J, 2015. Patch-based semantic labeling of road scene using colorized mobile LiDAR point clouds, IEEE Transactions on Intelligent Transportation Systems, pp.99, DOI: 10.1109/TITS.2015.2499196 (IEEE SCI/EI)
    • Cai Z, *Wang C, Wen C, Li J, 2015. Occluded Boundary Detection for Small-footprint Ground-borne LIDAR Point Cloud Guided by Last-echo, IEEE Geoscience and Remote Sensing Letters, 12(11): 2272-2276, DOI:10.1109/LGRS.2015.2466811 (IEEE SCI/EI)http://rssi.xmu.edu.cn/img/iconPdf.pngpdf(796KB).
    • Wang H, Luo H,*Wen C , Cheng J, Li P, Chen Y, Wang C, and Li J, 2015. Road boundaries detection based on local normal saliency from mobile laser scanning data, IEEE Geoscience and Remote Sensing Letters, 12(10): 2085-2089 (IEEE SCI/EI)
    • Chen Z, *Wang C, Wen C, Teng X, Chen Y, Guan H, Luo H, Cao L, Li J, 2015. Vehicle detection in high-resolution aerial images via sparse representation and superpixels, IEEE Transactions on Geoscience and Remote Sensing, 54(1): 103-116 10.1109/TGRS.2015.2451002,(IEEE: SCI/EI)http://rssi.xmu.edu.cn/img/iconPdf.pngpdf(2.49MB).
    • Zai D, *Chen Y, Li J, Yu Y, Wang C, Nie H, 2015. Inventory of 3D street lighting poles using mobile laser scanning point clouds, IGARSS 2015, pp. 573-576 (IEEE: EI).
    • Huang P, *Chen Y, Li J, Yu Y, Wang C, Nie H, 2015. Extraction of street trees from mobile laser scanning point clouds based on subdivided dimensional features, IGARSS 2015, pp. 557-560 (IEEE: EI).
    • Wu S, *Wen C, Luo H, Chen Y, Wang C, Li J, 2015. Using mobile lidar point clouds for traffic sign detection and sign visibility estimation, IGARSS 2015, pp. 565-568 (IEEE: EI).
    • Weng S, Li J, Chen Y, Wang C, 2015. Road traffic sign detection and classification from mobile LiDAR point clouds, IEEE Proceedings of CVRS 2015, Xiamen, China, 29-30 April, 4pp, in press (IEEE: EI).
    • Huang F, Wen C, Wang C, Li J, 2015. Feature selcetion for quality assessment of indoor mobile mapping point clouds, IEEE Proceedings of CVRS 2015, Xiamen, China, 29-30 April, 4pp, in press (IEEE: EI).
    • Chen Z, *Cao L, Yu Z, Chen Y, Wang C, Li J, 2015. Vehicle detection from high-resolution aerial images based on superpixel and color name feature, IEEE Proceedings of CVRS 2015, Xiamen, China, 29-30 April, 4pp, in press (IEEE: EI).
    • Wei B, Cheng M, Wang C, Li J, 2015. Combining hypergraph on oil spill training dataset, IEEE Proceedings of CVRS 2015, Xiamen, China, 29-30 April, 4pp, in press (IEEE: EI).
    • Zhang H, Wang C, Chen, Jia F, Li J, 2015. Benchmark on outdoor scenes, IEEE Proceedings of CVRS 2015, Xiamen, China, 29-30 April, 4pp, in press (IEEE: EI).
    • Wen C, Li J, Luo H, Yu Y, Cai Z, Wang H,*Wang C, 2015.Spatial-related traffic sign inspection for inventory purposes using mobile laser scanning data, IEEE Transactions on Intelligent Transportation Systems, DOI:10.1109/TITS.2015.2418214 (Elsevier: SCI)http://rssi.xmu.edu.cn/img/iconPdf.pngpdf(1.50MB).
    • Wang H, *Wang C, Luo H, Li P, Chen Y, Li J, 2015. 3-D point cloud object detection based on supervoxel neighborhood with Hough forest framework, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,  8(4):1570-1581, DOI: 10.1109/JSTARS.2015.2394803 (IEEE: SCI/EI)http://rssi.xmu.edu.cn/img/iconPdf.pngpdf(1.98MB).
    • Lin Y, *Wang C, Cheng J, Chen B, Jia F, Chen Z, Li J, 2015. Line segment extraction for large scale unorganized point clouds, ISPRS Journal of Photogrammetry and Remote Sensing, 102: 172–183 (Elsevier: SCI)http://rssi.xmu.edu.cn/img/iconPdf.pngpdf(3.74MB)
    •  Guan H, Yu Y, *Li J, Ji Z, Wang C, 2015. Using mobile LiDAR data for rapidly updating road markings, IEEE Transactions on Intelligent Transportation Systems, 16(5), 2457-2466, DOI: 10.1109/ TITS.2015.2409192 (IEEE: SCI/EI)http://rssi.xmu.edu.cn/img/iconPdf.pngpdf(1.81MB).
    • Yu Y, *Li J, Guan H, Wang C, 2015. Automated extraction of urban road facilities using mobile laser scanning data, IEEE Transactions on Intelligent Transportation Systems, 16(4):2167-2181 (IEEE: SCI/EI). http://rssi.xmu.edu.cn/img/iconPdf.pngpdf(2.95MB)
    •  *Cao L, Wang C, Li J, 2015. Robust depth-based object tracking from a moving binocular camera, Signal Processing  112: 154-161 (Elsevier: SCI)http://rssi.xmu.edu.cn/img/iconPdf.pngpdf(2.68MB).
    • Zeng M, *Cao L, Cheng X, Lin K, Dong H, Wang C, 2015. Shape completion for depth image via repeated objects registration,Neurocomputing, 169: 144-149 (Elsevier: SCI)
    •  *Cheng M, Wang C, Li J, 2015. Single-image super-resolution in RGB space via group sparse representation, IET Image Processing, 9(6):461-467(IET: SCI)http://rssi.xmu.edu.cn/img/iconPdf.pngpdf(468KB).
    • Guan H, *Li J, Yu Y, Chapman M, Wang C, 2015. Automated road information extraction from mobile laser scanning data, IEEE Transactions on Intelligent Transportation Systems, 16(1): 194-205(IEEE: SCI/EI).http://rssi.xmu.edu.cn/img/iconPdf.pngpdf(1.76MB)
    • Wei B, *Cheng M, Wang C,Li J, 2015. Combinative hypergraph learning for semi-supervised image classification, Neurocomputing, 153: 271-277 (Elsevier: SCI).http://rssi.xmu.edu.cn/img/iconPdf.pngpdf(1.51MB)
    • Yu Y, *Li J, Guan H, Jia F, Wang C, 2015. Three-dimensional object matching in mobile laser scanning point clouds, IEEE Geoscience and Remote Sensing Letters, 12(3): 492-496(IEEE: SCI/EI).http://rssi.xmu.edu.cn/img/iconPdf.pngpdf(980KB)
    • Yu Y, *Li J, Guan H, Wang C, Yu J, 2015. Semiautomated extraction of street light poles from mobile LiDAR point-clouds, IEEE Transactions on Geoscience and Remote Sensing, 53(3): 1374-1386 (IEEE: SCI/EI)http://rssi.xmu.edu.cn/img/iconPdf.pngpdf(2.67MB)
    • Guan H, *Li J, Yu Y, Chapman MA, Wang H, Wang C., Zhai R, 2015. Iterative tensor voting for pavement crack extraction using mobile laser scanning data, IEEE Transactions on Geoscience and Remote Sensing, 53(3): 1527-1537, DOI: 10.1109/TGRS.2014.2344714 (IEEE: SCI/EI)http://rssi.xmu.edu.cn/img/iconPdf.pngpdf(1.76MB)
    • Yu Y, *Li J, Guan H, Wang C, 2015. Learning hierarchical features for automated extraction of road markings from 3D mobile LiDAR point clouds, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 8(2):709-726 (IEEE: SCI/EI).http://rssi.xmu.edu.cn/img/iconPdf.pngpdf(3.71MB)

 

2014

    • Yu Y, *Li J, Guan H, Wang C, 2014. Automated detection of road manhole and sewer well covers from mobile LiDAR point clouds, IEEE Geoscience and Remote Sensing Letters, 11(9): 1549-1553 (IEEE: SCI/EI).   http://rssi.xmu.edu.cn/img/iconPdf.pngpdf(691KB)
    • Wang H, *Wang C, Luo H, Li P, Cheng M, Wen C, Li J, 2014. Object detection in terrestrial laser scanning point clouds based on Hough forest, IEEE Geoscience and Remote Sensing Letters, 11(10): 1807-1811 (IEEE: SCI/EI).   http://rssi.xmu.edu.cn/img/iconPdf.pngpdf(1.20MB)
    • Guan H,*Li J,Yu Y, Wang C, Chapman MA, Yang B, 2014. Using mobile laser scanning data for automated extraction of road markings,ISPRS Journal of Photogrammetry and Remote Sensing, 87 (2014) 93–107 (Elsevier: SCI).   http://rssi.xmu.edu.cn/img/iconPdf.pngpdf(5.20MB)
    • Yu Y,*Li J, Yu J, Guan H, Wang C, 2014. Pairwise three-dimensional shape context for partial object matching and retrieval on mobile laser scanning data, IEEE Geoscience and Remote Sensing Letters, 11(5): 1019-1023 (IEEE: SCI/EI).     http://rssi.xmu.edu.cn/img/iconPdf.pngpdf(585KB)
    • *Wen C, Qin L, Zhu Q, Wang C, Li J, 2014. Three-dimensional indoor mobile mapping with fusion of two-dimensional laser scanner and RGB-D camera data, IEEE Geoscience and Remote Sensing Letters, 11(4): 843-847 (IEEE: SCI/EI).
    • *Cheng M, Wang C, Li J, 2014. Sparse representation based pansharpening using trained dictionary, IEEE Geoscience and Remote Sensing Letters, 11(1): 293-297 (IEEE: SCI/EI).http://rssi.xmu.edu.cn/img/iconPdf.pngpdf(3.72MB)
    • Wei B, Yu J, Wang C, Li J, 2014. PolSAR image classification using a semi-supervised classifier based on hypergraph learning, Remote Sensing Letters, accpted (Taylor & Francis: SCI).http://rssi.xmu.edu.cn/img/iconPdf.pngpdf(461KB)
    • Xu L, *Li J, Wong A, Wang C, 2014. A kernel PCA texture feature for efficient segmentation of RADARSAT-2 SAR sea ice imagery, International Journal of Remote Sensing, 35(13): 5053-5072 (Taylor & Francis: SCI).   http://rssi.xmu.edu.cn/img/iconPdf.pngpdf(1.80MB)
    • Guan H, *Li J, Chapman MA, Yu Y, Wang C, 2014. Road feature extraction for road traffic safety using mobile laser scanning data. IEEE Transactions on Intelligent Transportation Systems, DOI: 10.1109/TITS.2014.2328589 (IEEE: SCI/EI)
    • Yu Y, *Li J, Guan H, Zai D, Wang C, 2014. Automated extraction of 3D trees from mobile lidar point clouds, TC V Symposium, 23-25 June 2014, Riva del Garda, ISPRS Archives, vol. XL-5, 629-632.http://rssi.xmu.edu.cn/img/iconPdf.pngpdf(885KB)
    • Guan H, Li J, Yu Y, Zhang H, Wang C, 2014. Automated extraction of road surface information from mobile laser scanning point clouds: state-of-the-art, FIG 2014 Congress, oral presentation, Kuala Lumpur, Malaysia, 17-21 June 2014.
    • Li J, Guan H, Yu Y, Wang C, Jia F, 2014. Mapping a tropical marine environment using a vessel-borne mobile laser scanning system: a pilot study, FIG 2014 Congress, oral presentation, Kuala Lumpur, Malaysia, 17-21 June 2014.
    • Sun Z, *Wang C, Li D, Li J, 2014. Semisupervised classification for hyperspectral imagery with transductive multiple kernel learning, IEEE Geoscience and Remote Sensing Letters, 11(11): 1991-1995 (IEEE: SCI/EI).http://rssi.xmu.edu.cn/img/iconPdf.pngpdf(682KB)
    • Yu Y, *Li J, Guan H, Wang C, Yu J, 2014. Semi-automated extraction of street light poles from mobile LiDAR point-clouds, IEEE Transactions on Geoscience and Remote Sensing, DOI:10.1109/TGRS.2014.2338915 (IEEE: SCI/EI).
    • Guan H, Li J, Zhou Y, Yu Y, Wang C, Wen C, 2014. Automatic extraction of power lines from mobile laser scanning data, IGARSS 2014, July 13-18, Québec City, Québec, pp. 918-921 (IEEE: EI).http://rssi.xmu.edu.cn/img/iconPdf.pngpdf(507KB)
    • Chen S, Wang C, Teng X, Cao L, Li J, 2014. Oil spill detection based on a superpixel segmentation method for SAR images, IGARSS 2014, July 13-18, Québec City, Québec, pp. 1725-1728 (IEEE: EI).http://rssi.xmu.edu.cn/img/iconPdf.pngpdf(495KB)
    • Yu Y, Li J, Guan H, Wang C, 2014. 3D crack skeleton extraction from mobile lidar point clouds, IGARSS 2014, July 13-18, Québec City, Québec, pp. 914-917 (IEEE: EI).http://rssi.xmu.edu.cn/img/iconPdf.pngpdf(735KB)
    • Jia F, Li J, Wang C, Yu Y, Cheng M, *Zai D, 2014. Earthwork volumes estimation in asphalt pavement reconstruction using a mobile laser scanning system, IGARSS 2014, July 13-18, Québec City, Québec, pp. 922-925 (IEEE: EI).http://rssi.xmu.edu.cn/img/iconPdf.pngpdf(775KB)
    • Yu Y, *Li J, Guan H, Wang C, Yu J, 2014. Semiautomated extraction of street light poles from mobile LiDAR point-clouds, IEEE Transactions on Geoscience and Remote Sensing, DOI: 10.1109/TGRS.2014.2338915 (IEEE: SCI/EI).
    • Guan H, *Li J, Yu Y, Chapman MA, Wang C, 2014. Iterative tensor voting for pavement crack extraction using mobile laser scanning data, IEEE Transactions on Geoscience and Remote Sensing, DOI: 10.1109/TGRS.2014.2344714 (IEEE: SCI/EI).
    • Yu Y, *Li J, Guan H, Wang C, 2014. Three-dimensional object matching in mobile laser scanning point clouds, IEEE Geoscience and Remote Sensing Letters, DOI: 10.1109/LGRS.2014.2347347 (IEEE: SCI/EI).
    • Yu Y, *Li J, Guan H, Wang C, 2014. Learning hierarchical features for automated extraction of road markings from 3D mobile LiDAR point clouds, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, DOI: 10.1109/JSTARS.2014.2347276 (IEEE: SCI/EI).http://rssi.xmu.edu.cn/img/iconPdf.pngpdf(3.72MB)
    • Yu Y, *Li J, Guan H, Wang C, 2014. Automated Road Information Extraction From Mobile Laser Scanning Data, IEEE Transactions on intelligent transport systems.http://rssi.xmu.edu.cn/img/iconPdf.pngpdf(1.77MB)

 

2013

    • Sun Z, *Wang C, Wang H, Li J, 2013. Learn multiple-kernel SVMs for domain adaptation in hyperspectral data, IEEE Geoscience and Remote Sensing Letters, 10(5): 1224-1228 (IEEE: SCI/EI). http://rssi.xmu.edu.cn/img/iconPdf.pngpdf(6.08MB)
    • Yu Y, *Li J, Guan H, Wang C, 2013. A marked point process for automated building detection from lidar point-clouds, Remote Sensing Letters, 4(11): 1127–1136 (Taylor & Francis: SCI).    http://rssi.xmu.edu.cn/img/iconPdf.pngpdf(727KB)
    • Ma X, Wang C, Sun Z, Li J, 2013. Hyperspectral image classification using primal Laplacian SVM in preconditioned conjugate gradient solution, IGARSS 2013, July 21-26, Melbourne, Australia.
    • Wang H, Wang C, Luo H, Li P, Sun Z, Yu Y, Li J, 2013. Hough forest for object detection in laser scanning point clouds, IGARSS 2013, July 21-26, Melbourne, Australia.
    • Luo H, Wang C, Wang H, Sun Z, Cai Z, Li J, 2013. Object recognition in laser scanning point clouds based on fast linear support vector machine, IGARSS 2013, July 21-26, Melbourne, Australia.
    • Li J, Yu Y, Guan H, Wang C, 2013. Extraction of tree crowns from mobile laser scanning data using a marked point process model, MMT2013, May 1-3, Tainan, Taiwan.
    • Yu Y, Li J, Guan H, Wang C, 2013. Detection of road surface cracks from mobile laser scanning data, MMT2013, May 1-3, Tainan, Taiwan.
    • Guan H, Li J, Chapman MA, Yu Y, Wang C, 2013. Geometric validation of a mobile laser scanning system for urban applications, MMT2013, May1-3, Tainan, Taiwan.
    • Chen J, Wang C, Li J, 2013. Miscolor correction for tree in colored terrestrial mobile laser scanning point cloud, MMT2013, May 1-3, Tainan, Taiwan.
    • Yu Y, Li J, Guan H, Wang C, 2013. Automated detection of manhole covers using a mobile LiDAR system, GiT4NDM, October 9-11, Mississauga, Ontario, Canada.
    • Wen C, Qi C, Li J, Wang C, 2013. 3D indoor mapping using a mobile mapping system for indoor disaster search and rescue, Gi4DM 2013, December 9-11, Hanoi, Vietnam.
    • Li J, Yu Y, Guan H, Wang C, Wen C, 2013. Mobile lidar for updating road safety databases, Gi4DM 2013, December 9-11, Hanoi, Vietnam.

 

2012

    • *Wang C, J Chen, R Wang. Improving hyperspectral data classification by fusing band and wavelet features, International Journal of Remote Sensing, 33(10): 3268-3285 (SCI).
    • Li P, Cai Z, Wang H, Sun Z, Yi Y, *Wang C, Li J, 2012. Scale invariant kernel-based object tracking, CVRS2012, December 16-18, Xiamen, China.
    • Yu Y, *Li J, Guan H, Wang C, Cheng M, 2012. A marked point process for automated tree detection from mobile laser scanning point cloud data, CVRS2012, December 16-18, Xiamen, China.    http://rssi.xmu.edu.cn/img/iconPdf.pngpdf(863KB)
    • Li P, *Wang C, Sun Z, Wang H, Li J, 2012. Cascade framework for object extraction in image sequences, CVRS2012, December 16-18, Xiamen, China.   http://rssi.xmu.edu.cn/img/iconPdf.pngpdf(581KB)
    • Wang H, Luo H, *Wang C, Li P, Yang W, Li J, 2012. Automatic road extraction from mobile laser scanning data, CVRS2012, December 16-18, Xiamen, China.    http://rssi.xmu.edu.cn/img/iconPdf.pngpdf(524KB)
    • Sun Z, *Wang C, Li P, Wang H, Li J, 2012. Hyperspectral image classification with SVM-based domain adaption classifiers, CVRS2012, December 16-18, Xiamen, China.    http://rssi.xmu.edu.cn/img/iconPdf.pngpdf(389KB)
    • Yu Y, *Wang C, Li J, Guan H, 2012. Terrestrial mobile laser scanning for urban infrastructure mapping: road marking extraction results, ISPRS 2012 Congress, August 25 - September 1, Melbourne, Australia.

 

Journal Papers before 2011

  1. Sun H, Wang C, Boliang Wang, Naser El-Sheimy. Pyramid binary pattern features for real-time pedestrian detection from infrared videos. Neurocomputing, 2011, 74(5): 797-804.
  2. Sun H, Wang C, Boliang Wang. Hybrid generative-discriminative human action recognition by combing spatio-temporal words with supervised topic models. Optical Engineering, 2011, 50(2): 027203.
  3. Sun H, Wang C, Naser El-Sheimy. Joint detection and tracking of independently moving objects in stereo sequences using scale-invariant feature transform features and particle filter. Optical Engineering, 2010, 49(3): 037006.
  4. Sun H, Wang C, Boliang Wang, Naser El-Sheimy. Discovering objects and their locations in videos using spatial-temporal context words. Optical Engineering, 2010, 49(9): 097003.
  5. Sun H, Wang C, Boliang Wang, Naser El-Sheimy. Unsupervised video-based lane detection using location-enhanced topic models. Optical Engineering, 2010, 49(10): 107201.
  6. Chen J, Wang C, Wang R. Using stacked generalization to combine SVMs in magnitude and shape feature spaces for classification of hyperspectral data, IEEE Transactions on Geoscience and Remote Sensing, vol. 47, no. 7, pp 2193-2205, July, 2009.
  7. Chen J, Wang C, Wang R. Adaptive binary tree for fast SVM multiclass classification, Neurocomputing, vol. 72, pp. 3370-3375, Aug. 2009.
  8. Chen J, Wang R, Wang C. Combining magnitude and shape features for hyperspectral classification, International Journal of Remote Sensing, vol. 30, no. 14, pp. 3625-3636, July 2009.
  9. Chen J, Wang C, Wang R. Combining support vector machines with a pairwise decision tree, IEEE Geoscience Remote Sensing Letters, vol. 5, no. 3, pp. 409-413, July 2008.
  10. Chen J, Wang R, Wang C. A multiresolution spectral angle based hyperspectral classification method, International Journal of Remote Sensing, vol. 29, no. 11, pp. 3159-3169, June 2008.
  11. Zhou, Hui; Wang, Runsheng; Wang C, A novel extended local-binary-pattern operator for texture analysis, Information Sciences, v 178, n 22, p 4314-4325, Nov 15 2008
  12. Taher Hassan, Cameron Ellum, Sameh Nassar, Wang C, and Naser El-Sheimy, “Photogrammetry for Mobile MappingGPS World, Vol 18, Num 3, Page: 44-48, Mar 2007.
  13. Liu, Zhuo; Wang, Boliang; Xu, Xiuying;Wang C; A study for accommodating the human crystalline lens by finite element simulation, Computerized Medical Imaging and Graphics, v 30, n 6-7, p 371-376, September/October 2006
  14. Wang C, Wang R,“Super-resolution Reconstruction of Image Sequence Using Multiple Motion Estimation Fusion”, Journal of Computer Science and Technology,May,2004;
  15. Wang C, Wang R, Line Extraction for SAR Image, 2003, 31(6), ACTA ELECTRONICA SINICA, in Chinese; 王程,王润生,“SAR图像直线提取”,电子学报,2003年第6期;
  16. Wang C, Wang R, “Multi-model SAR Image Despeckling,IEE Electronic Letters,7th November 2002 Vol. 38 No.23;
  17. Wang C, Wang R, Line Extraction for Broadband Image Signals, CHINESE JOURNAL OF COMPUTERS, vol 7, 2002, in Chinese; 王程,王润生,“宽带图像信号的直线提取”,计算机学报 2002年第7期;
  18. Wang C, Wang R,“IR Target Detection for Complex Background”, Infrared and Laser Engineering 2001, Vol.1 No.1;
  19. Wang C, Wang R, Combined Resolution Enhancement and Pattern Matching in Image Sequence Based on MAP Frame, CHINESE JOURNAL OF COMPUTERS, 2003, 26(8), in Chinese; 王程,王润生,“基于MAP框架的图像序列超分辨率和模板匹配”,计算机学报,计算机学报2003年第8期;
  20. Ayman Habib,Wang C“2011 International Workshop on Multi-Platform/Multi-Sensor Remote Sensing and Mapping PROCEEDINGS”,IEEE Catalog Number: CFP1136M-DVD,ISBN: 978-1-4244-9403-3 ;

Conference Papers before 2011

  1. Wang C, T. Hassan, N. El-Sheimy, M. Lavigne,AUTOMATIC ROAD VECTOR EXTRACTION FOR MOBILE MAPPING SYSTEMS, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part B3b. Beijing 2008, p515-522;
  2. Hui ?Z; Wang C; Wang R, Biologically-inspired identification of plankton based on hierarchical shape semantics modeling, Source: 2nd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2008, p 2000-2003, 2008
  3. Chen J, Wang C, Wang R. A fast two-stage classification method of support vector machines, Proc IEEE ICIA 2008, pp. 869-872.
  4. Chen J, Wang C, Wang R, Tao Liu. Combining wavelet features of hyperspectral data by stacked SVM, Proc IEEE ICIECS 2009, pp. 102-105.
  5. Chen J, Wang C, Wang R. Fusion of SVMs in wavelet domain for hyperspectral data classification, Proc IEEE ROBIO 2009, pp. 1372-1375.
  6. Tao Liu, Chen J, Wang C. Improved maximally stable extremal region detector in color images, Proc IEEE ICIA 2010,
  7. Sun H; Wang, Cheng; El-Sheimy, Naser ; Moving objects detection for mobile mapping, Source: Proceedings of the 2008 IEEE International Conference on Information and Automation, ICIA 2008, p 629-633, 2008,
  8. Wang C , Taher Hassan , Naser El-Sheimy, Martin Lavigne, “ARVEE: Automatic Road Geometry Extraction System for Mobile Mapping”, Proceedings of The 5th international Symposium on Mobile Mapping Technology (MMT’07), Padua, Italy, May, 2007, p343-347
  9. Naser El-Sheimy, Wang C, Taher Hassan, and Martin Lavigne, “Mobile Mapping for Automatic Extraction of 3D Road Vectors ”, Map Middle Esat 2007, Dubai, UAE.
  10. Taher Hassan, Cameron Ellum, Sameh Nassar, Wang Cheng, Naser El-Sheimy “Photogrammetric Bridging of GPS/INS in Urban Centers for Mobile Mapping Applications”, in proceeding of ION GNSS 2006, Sept. 26-29, 2006 , Fort Worth, Texas.
  11. Xianjin Wu, Wang R, and Wang C,“Regularized image restoration based on adaptively selecting parameter and operator”Int. Conf. Patt. Recog. 2004, (ICPR’04) Cambridge,UK,Aug,2004;
  12. Wang C, Wang R,“Robust Ground Control Point Subimage Matching Using Linear Structural Regions” Pattern Recognition in Remote Sensing 2004, (PRRS’04), London,UK,Aug,2004;
  13. Wang C, Wang R,“Iterative Multi-model MAP Despeckling for SAR Images” Pattern Recognition in Remote Sensing 2004, (PRRS’04), London,UK,Aug,2004;
  14. Wang C, Wang R,“ Line extraction in SAR images”, SPIE proceeding of 3rd International Asia-Pacific Environmental Remote Sensing Symposium. Hangzhou, China. 2002;
  15. Wang C, Wang R,“SAR speckle reduction for image analysis”, SPIE 2nd International Symposium on Multispectral Image Proc. and Patt. Recogn, (ISMIPPR'2001), Wuhan,China, 2001;
  16. Sun H, Wang C, Naser El-Sheimy. Moving objects detection for mobile mapping. Proceedings of the 2008 IEEE International Conference on Information and Automation, 2008: 629-633.
  17. Sun H, Wang C, Hao Shenyong. Combining local affine frames and SIFT for remote sensing image registration. Proceedings of the SPIE 6th International Symposium on Multispectral Image Processing and Pattern Recognition, 2009: 74941B-1 – 74941B-6.
  18. Sun H, Wang C, Naser El-Sheimy, Ping Wang. Surrounding traffics detection for terrestrial mobile mapping data quality evaluation. Proceedings of the 6th International Symposium on Mobile Mapping Technology, 2009: 62-67.
  19. Sun H, Wang C, Boliang Wang, Naser El-Sheimy. Independently moving objects detection and tracking using stereo vision. Proceedings of the 2010 IEEE International Conference on Information and Automation, 2010: 1936-1941.
  20. Sun H, Wang C, Boliang Wang. Night vision pedestrian detection using a forward-looking infrared camera. Proceedings of the ISPRS&IEEE International Worshop on Multi-platform Multi-sensor Remote Sensing and Mapping, Jan. 10-12, 2011.
  21. Sun H, Wang C, Naser El-Sheimy. Automatic traffic lane detection for mobile mapping systems. Proceedings of the ISPRS&IEEE International Worshop on Multi-platform Multi-sensor Remote Sensing and Mapping, Jan. 10-12, 2011.
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