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Social Media Retrieval and Mining pp 143–151Cite as

HTML5 Based 3D Visualization of High Density LiDAR Data and Color Information for Agriculture Applications

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 387))

Abstract

In this paper, an online visualization framework for agriculture LiDAR point cloud is proposed based on HTML5 technologies. In the framework, 3D data is transmitted with Websocket, and visualized with X3DOM that allows including X3D elements as part of any HTML5 DOM tree. There is no specific plugins required for the framework that extends the availability of the LiDAR data for agriculture related applications. The experimental results demonstrate the online visualization results of two types of LiDAR point clouds for the agriculture fields.

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References

  1. Farzin, A., Pierrottet, D.F., Petway, L.B., Hines, G.D., Roback, V.E.: Lidar systems for precision navigation and safe landing on planetary bodies. Technical report, Langel Research Center, NASA (2011)

    Google Scholar 

  2. Lin, H., Jing, H., Zhang, L.: Fast reconstruction of three dimensional city model based on airborne lidar. In: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. XXXVII, Part B1, Beijing (2008)

    Google Scholar 

  3. Parrish, C.E., Nowak, R.D.: Journal of surveying engineering. Data Min. Knowl. Discov. 135(2), 72–82 (2009)

    Google Scholar 

  4. Schulz, W.H.: Landslide susceptibility revealed by lidar imagery and historical records, seattle, washington. Eng. Geol. 89, 67–87 (2007)

    Article  Google Scholar 

  5. Zheng, G., Moskal, L.M.: Retrieving leaf area index (lai) using remote sensing: theories, methods and sensors. Sensors 9, 2719–2745 (2009)

    Article  Google Scholar 

  6. Isenburg, M., Shewchuk, J.: Visualizing lidar in google earth. In: 17th International Conference on Geoinformatics, pp. 1–4, August 2009

    Google Scholar 

  7. Calle, M.D.L., Gómez-Deck, D., Koehler, O., Pulido, F.: Point cloud visualization in an open source 3d glob3. In: ISPRS Archives, vol. XXXVIII-5/W16 (2011)

    Google Scholar 

  8. Dempsey, C.: Fabric engine: 3d lidar rendering via web browsers. http://gislounge.com/fabric-engine-3d-lidar-rendering-via-web-browsers/

  9. dielmo. http://www.dielmo.com/eng/

  10. Lynch, J.D., Chen, X., Hui, R.B.: A multimedia approach to visualize and interact with large scale mobile lidar data. In: Proceedings of the International Conference on Multimedia (MM ’10), pp. 1689–1692. ACM, New York (2010)

    Chapter  Google Scholar 

  11. W3C: Html5. http://dev.w3.org/html5/spec/Overview.html (2012)

  12. Jianping, Y., Jie, Z.: Towards html 5 and interactive 3d graphics. In: 2010 International Conference on Educational and Information Technology (ICEIT), Chongqing China, pp. 522–527, September 2010

    Google Scholar 

  13. Chen, B., Xu, Z.: A framework for browser-based multiplayer online games using webgl and websocket. In: International Conference on Multimedia Technology (ICMT), Hangzhou China, pp. 471–474, September 2011

    Google Scholar 

  14. WebGL: Webgl - opengl es 2.0 for the web. http://www.khronos.org/webgl/ (2011)

  15. Xb pointstream. http://zenit.senecac.on.ca/wiki/index.php/XBPointStream (2012)

  16. Behr, J., Eschler, P., Jung, Y., Zöllner, M.: X3dom: a dom-based html5/x3d integration model. In: Web3D ’09, Darmstadt, Germany (2009)

    Google Scholar 

  17. Mao, B., Ban, Y.: Online visualisation of a 3d city model using citygml and x3dom. Cartographica 46(2), 109–114 (2011)

    Article  Google Scholar 

  18. Lubbers, P., Greco, F.: Html5 web sockets: a quantum leap in scalability for the web. http://peterlubbers.sys-con.com/node/1315473

  19. Jetty. http://jetty.codehaus.org/jetty/

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Acknowledgments

This research is supported by National Natural Science Foundation of China under Grants No. 41201486, 61103229 and 71072172, Jiangsu Provincial Colleges and Universities Outstanding S&T Innovation Team Fund under Grants No. 2011013, Key Project of Natural Science Research in Jiangsu Provincial Colleges and Universities under Grants No. 12KJA520001, Key Technologies R&D Program of China under Grants No. SQ2013BAJY4130, National Key Technologies R&D sub Program in 12th five-year-plan under Grants No. SQ2011GX07E03990, the Natural Science Foundation of Jiangsu Province of China under Grant BK2012863, International S&T Cooperation Program of China under Grants No. 2011DFA12910, and Transformation Fund for Agricultural Science and Technology Achievements under Grants No. 2011GB2C100024. Jiangsu Province demonstration project of Internet of things (Yurun Group).

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Authors and Affiliations

  1. Jiangsu Provincial Key Laboratory of E-Business, Nanjing University of Finance and Economics, Nanjing, China

    Bo Mao & Jie Cao

Authors
  1. Bo Mao
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  2. Jie Cao
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Correspondence to Bo Mao .

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Editors and Affiliations

  1. Fudan University School of Computer Science, Shanghai, People's Republic of China

    Shuigeng Zhou

  2. University of Finance and Economics, Nanjing, People's Republic of China

    Zhiang Wu

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Mao, B., Cao, J. (2013). HTML5 Based 3D Visualization of High Density LiDAR Data and Color Information for Agriculture Applications. In: Zhou, S., Wu, Z. (eds) Social Media Retrieval and Mining. Communications in Computer and Information Science, vol 387. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41629-3_13

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  • DOI: https://doi.org/10.1007/978-3-642-41629-3_13

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-41628-6

  • Online ISBN: 978-3-642-41629-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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