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DATA FUSION AND SUPERVISED CLASSIFICATIONS WITH LIDAR DATA AND MULTISPECTRAL IMAGERY

Sinagra, Ophelie, Lim, Samsung

First published: 2014-06-20https://doi.org/10.5593/sgem2014/b23/s10.016View metrics

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  • CrossRef - Citation Indexes: 1
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Publication details

Title
DATA FUSION AND SUPERVISED CLASSIFICATIONS WITH LIDAR DATA AND MULTISPECTRAL IMAGERY
Authors
Sinagra, Ophelie, Lim, Samsung
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 14th SGEM GeoConference on INFORMATICS, GEOINFORMATICS AND REMOTE SENSING
Publisher
Stef92 Technology
Year
2014
Pages
Not available yet
ISSN
1314-2704
ISBN
978-619-7105-12-4
Language
en
Publication type
Conference Paper
References22
  1. Alonso, M. and Malpica, J. 2010. Satellite imagery classification with LiDAR data. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXVIII, Part 8, Kyoto Japan 2010, pp.

  2. Chen, L., Teo, T., Shao, Y., Lai, Y. and Rau, J. 2004. Fusion of LiDAR and optical imagery for building modeling. International Archives of Photogrammetry Remote Sensing and Spatial Information Services.

  3. Dalponte, M., Bruzzone, L. and Gianelle, D. 2008. Fusion of Hyperspectral and LIDAR Remote Sensing Data for Classification of Complex Forest Areas. Geoscience and Remote Sensing, IEEE Transactions on, Vol. 46, Issue 5, pp.

  4. Demir, N. and Baltsavias, E. 2010. Combination of image and LiDAR for building and tree extraction. International Archives of the photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XXXVIII, Part 3B. Section Photogrammetry and Remote Sensing

  5. Garcia, M., Riano, D., Chuvieco, E., Sals, J., Danson, . 2011. Multispectral and LiDAR data fusion for fuel type mapping using Support Vector Machine and decision rules. Remote Sensing of Environment, Vol. 115, Issue 6, pp.

  6. Ke, Y., Quackenbush, L. and Im, J. 2010. Synergistic use of QuickBird multi- spectral imagery and LIDAR data for object-based forest species classification. Remote Sensing of Environment, Vol. 114, Issue 6, pp.

  7. Luo, Y., Jiang, T., Gao, S. and Wang, X. 2012. A new method of building footprints detection using airborne laser scanning data and multispectral image. SPIE Proceedings, Vol. 7658, pp.

  8. Nordkvist, K., Granholm, A., Holmgren, J., Olsson, H., Nilsson, M. 2012. Combining optical satellite data and airborne laser scanner data for vegetation classification. Remote Sensing Letters, Vol. 3, Issue 5, pp.

  9. Rottensteiner, F. and Jansa, J. 2002. A new method for individual tree measurement from airborne LiDAR. ISPRS Commission IV Symposium, July 9 - 12, 2002, Ottawa, Canada.

  10. Rottensteiner, F., Trinder, J., Clode, S., Kubik, K. and Lovell, B. 2004. Building detection by Dempster-Shafer fusion of LiDAR data and multi-spectral aerial imagery. Proceedings of the 17th International Conference on Pattern Recognition, 2004.

  11. Sohn, G. and Dowman, I. 2007. Data Fusion of High-Resolution Satellite Imagery and LiDAR Data for Automatic Building Extraction. ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 62, pp.

  12. Alonso, M. and Malpica, J. 2010. Satellite imagery classification with LiDAR data. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXVIII, Part 8, Kyoto Japan 2010, pp.

  13. Chen, L., Teo, T., Shao, Y., Lai, Y. and Rau, J. 2004. Fusion of LiDAR and optical imagery for building modeling. International Archives of Photogrammetry Remote Sensing and Spatial Information Services.

  14. Dalponte, M., Bruzzone, L. and Gianelle, D. 2008. Fusion of Hyperspectral and LIDAR Remote Sensing Data for Classification of Complex Forest Areas. Geoscience and Remote Sensing, IEEE Transactions on, Vol. 46, Issue 5, pp.

  15. Demir, N. and Baltsavias, E. 2010. Combination of image and LiDAR for building and tree extraction. International Archives of the photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XXXVIII, Part 3B. Section Photogrammetry and Remote Sensing

  16. Garcia, M., Riano, D., Chuvieco, E., Sals, J., Danson, . 2011. Multispectral and LiDAR data fusion for fuel type mapping using Support Vector Machine and decision rules. Remote Sensing of Environment, Vol. 115, Issue 6, pp.

  17. Ke, Y., Quackenbush, L. and Im, J. 2010. Synergistic use of QuickBird multi- spectral imagery and LIDAR data for object-based forest species classification. Remote Sensing of Environment, Vol. 114, Issue 6, pp.

  18. Luo, Y., Jiang, T., Gao, S. and Wang, X. 2012. A new method of building footprints detection using airborne laser scanning data and multispectral image. SPIE Proceedings, Vol. 7658, pp.

  19. Nordkvist, K., Granholm, A., Holmgren, J., Olsson, H., Nilsson, M. 2012. Combining optical satellite data and airborne laser scanner data for vegetation classification. Remote Sensing Letters, Vol. 3, Issue 5, pp.

  20. Rottensteiner, F. and Jansa, J. 2002. A new method for individual tree measurement from airborne LiDAR. ISPRS Commission IV Symposium, July 9 - 12, 2002, Ottawa, Canada.

  21. Rottensteiner, F., Trinder, J., Clode, S., Kubik, K. and Lovell, B. 2004. Building detection by Dempster-Shafer fusion of LiDAR data and multi-spectral aerial imagery. Proceedings of the 17th International Conference on Pattern Recognition, 2004.

  22. Sohn, G. and Dowman, I. 2007. Data Fusion of High-Resolution Satellite Imagery and LiDAR Data for Automatic Building Extraction. ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 62, pp.

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Number of times cited according to Crossref: 1

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