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Original Articles

Model transfer-based filtering for airborne LiDAR data with emphasis on active learning optimization

, &
Pages 111-120 | Received 29 Jul 2017, Accepted 19 Oct 2017, Published online: 08 Nov 2017

References

  • Axelsson, P. 2000. “DEM Generation from Laser Scanner Data Using Adaptive TIN Models.” International Archives of Photogrammetry and Remote Sensing 33 (B4/1, PART 4): 111–118.
  • Balcan, M.-F., A. Broder, and T. Zhang. 2007. “Margin Based Active Learning.” In Learning Theory: 20th Annual Conference on Learning Theory, COLT 2007, San Diego, CA, USA, June 13–15, 2007. Proceedings, edited by N. H. Bshouty, and C. Gentile, 35–50. Berlin, Heidelberg: Springer Berlin Heidelberg.
  • Belkhouche, M. Y., and B. Buckles. 2011. “Iterative TIN-based Automatic Filtering of Sparse LiDAR Data.” Remote Sensing Letters 2 (3): 231–240. doi:10.1080/01431161.2010.515266.
  • Boqing, G., G. Kristen, and S. Fei. 2013. “Connecting the Dots with Landmarks: Discriminatively Learning Domain-Invariant Features for Unsupervised Domain Adaptation.” Proceedings of the 30th International Conference on Machine Learning, PMLR 28 (1): 222–230.
  • Brodu, N., and D. Lague. 2012. “3D Terrestrial Lidar Data Classification of Complex Natural Scenes Using a Multi-Scale Dimensionality Criterion: Applications in Geomorphology.” ISPRS Journal of Photogrammetry and Remote Sensing 68 (Supplement C): 121–134. doi:10.1016/j.isprsjprs.2012.01.006.
  • Chang, C.-C., and C.-J. Lin. 2011. “LIBSVM: A Library for Support Vector Machines.” ACM Transactions on Intelligent Systems and Technology (TIST) 2 (3): 27. doi:10.1145/1961189.1961199.
  • Demir, B., F. Bovolo, and L. Bruzzone. 2013. “Updating Land-Cover Maps by Classification of Image Time Series: A Novel Change-Detection-Driven Transfer Learning Approach.” IEEE Transactions on Geoscience and Remote Sensing 51 (1): 300–312. doi:10.1109/TGRS.2012.2195727.
  • Guo, B., X. Huang, F. Zhang, and G. Sohn. 2015. “Classification of Airborne Laser Scanning Data Using JointBoost.” ISPRS Journal of Photogrammetry and Remote Sensing 100: 71–83. doi:10.1016/j.isprsjprs.2014.04.015.
  • Kim, H. B., and G. Sohn. 2010. “3D Classification of Power-Line Scene from Airborne Laser Scanning Data Using Random Forests.” International Archives of Photogrammetry and Remote Sensing 38: 126–132.
  • Li, Q., H. Ma, J. Wu, L. Tian, and F. Qiu. 2007. “Filter Algorithm for Airborne LiDAR Data.” Paper presented at the international symposium on Multispectral Image Processing and Pattern Recognition, 15 November 2007, Wuhan, China. doi: 10.1117/12.748474.
  • Luo, T., K. Kramer, D. B. Goldgof, L. O. Hall, S. Samson, A. Remsen, and T. Hopkins. 2005. “Active Learning to Recognize Multiple Types of Plankton.” Journal of Machine Learning Research 6 (Apr.): 589–613.
  • Mewhort, A. K. 2013. “Active Learning for Semantic Labelling of Lidar Data.” Master of Science, Simon Fraser University.
  • Özcan, A. H., and C. Ünsalan. 2015. “Using Empirical Mode Decomposition for Ground Filtering.” Paper presented at the Recent Advances in Space Technologies (RAST), 2015 7th international conference on IEEE, June 317-321. Istanbul, Turkey.
  • Platt, J. 1999. “Probabilistic Outputs for Support Vector Machines and Comparisons to Regularized Likelihood Methods.” Advances in Large Margin Classifiers 10 (3): 61–74.
  • Quattoni, A., M. Collins, and T. Darrell. 2008. “Transfer Learning for Image Classification with Sparse Prototype Representations.” Paper presented at the 2008 IEEE conference on Computer Vision and Pattern Recognition, June 23–28. Anchorage, AK, USA.
  • Rizki, P. N. M., J. Eum, H. Lee, and S. Oh. 2017. “Spark-Based In-Memory DEM Creation from 3D LiDAR Point Clouds.” Remote Sensing Letters 8 (4): 360–369. doi:10.1080/2150704X.2016.1275053.
  • Shi, W., S. Zheng, and Y. Tian. 2009. “Adaptive Mapped Least Squares SVM-based Smooth Fitting Method for DSM Generation of LIDAR Data.” International Journal of Remote Sensing 30 (21): 5669–5683. doi:10.1080/01431160802709237.
  • Sithole, G., and G. Vosselman. 2004. “Experimental Comparison of Filter Algorithms for bare-Earth Extraction from Airborne Laser Scanning Point Clouds.” ISPRS Journal of Photogrammetry and Remote Sensing 59 (1–2): 85–101. doi:10.1016/j.isprsjprs.2004.05.004.
  • Sohn, G., and I. J. Dowman. 2002. “Terrain Surface Reconstruction by the Use of Tetrahedron Model with the MDL Criterion.” International Archives of Photogrammetry Remote Sensing and Spatial Information Sciences 34 (3/A): 336–344.
  • Sugiyama, M., S. Nakajima, H. Kashima, P. V. Buenau, and M. Kawanabe. 2008. “Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation.” In Advances in Neural Information Processing Systems 20 (NIPS 2007), 1433–1440. Vancouver, Canada: Curran Associates.
  • Tan, B., Y. Song, E. Zhong, and Q. Yang. 2015. “Transitive Transfer Learning.” In Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 1155–1164. Sydney, NSW, Australia: ACM.
  • Vosselman, G. 2000. “Slope Based Filtering of Laser Altimetry Data.” International Archives of Photogrammetry and Remote Sensing 33 (B3/2, PART 3): 935–942.
  • Xiao, M., and Y. Guo. 2015. “Feature Space Independent Semi-Supervised Domain Adaptation via Kernel Matching.” IEEE Transactions on Pattern Analysis and Machine Intelligence 37 (1): 54–66. doi:10.1109/TPAMI.2014.2343216.

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