[1] MALLET C, BRETAR F. Full-waveform topographic lidar:state-of-the-art[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2008, 64(1):1-16. [2] HOFTON M A, MINSTER J B, BLAIR J B. Decomposition of laser altimeter waveforms[J]. IEEE Transactions on Geoscience and Remote Sensing, 2000, 38(4):1989-1996. [3] WAGNER W, ULLRICH A, DUCIC V, et al. Gaussian decomposition and calibration of a novel small-footprint full-waveform digitising airborne laser scanner[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2005, 60(2):100-112. [4] JUTZI B, STILLA U. Range determination with waveform recording laser systems using a Wiener filter[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2006, 61(2):95-107. [5] RONCAT A, BERGAUER G, PFEIFER N. B-spline deconvolution for differential target cross-section determination in full-waveform laser scanning data[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2011, 66(4):418-428. [6] BELINA F, LRVING J, ERNST J, et al. Analysis of an iterative deconvolution approach for estimating the source wavelet during waveform inversion of crosshole georadar data[J]. Journal of Applied Geophysics, 2012, 78:20-30. [7] WAGNER W, RONCAT A, MELZER T, et al. Waveform analysis techniques in airborne laser scanning[J]. International Archives of Photogrammetry and Remote Sensing, 2007, 36(3):413-418. [8] BRETAR F, CHAUVE A, MALLET C, et al. Managing full waveform lidar data:a challenging task for the forthcoming years[EB/OL].[2015-02-10]. http://www.isprs.org/proceedings/XXXVII/congress/1_pdf/69.pdf. [9] WANG C, LI Q, LIU Y, et al. A comparison of waveform processing algorithms for single-wavelength LiDAR bathymetry[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2015, 101:22-35. [10] 邓小英, 刘涛, 罗勇.Ricker子波核最小二乘支持向量回归滤波方法的稳健性研究[J]. 地球物理学报, 2011, 54(3):845-853.(DENG X Y, LIU T, LUO Y. Robustness of least squares support vector regression filtering method with Ricker wavelet kernel[J]. Chinese Journal of Geophysics, 2011, 54(3):845-853.) [11] 邴萍萍, 曹思远, 路交通.基于支持向量机的非线性AVO反演[J]. 地球物理学报, 2012, 55(3):1025-1032.(BING P P, CAO S Y, LU J T. Non-linear AVO inversion based on support vector machine[J]. Chinese Journal of Geophysics, 2012, 55(3):1025-1032.) [12] CORTES C, VAPNIK V. Support-vector networks[J]. Machine Learning, 1995, 20(3):273-297. [13] SUYKENS J A K, DE BRABANTER J, LUKAD L, et al. Weighted least squares support vector machines:robustness and sparse approximation[J]. Neurocomputing, 2002, 48(1/2/3/4):85-105. [14] ROUSSEEUW P J, LEROY A M. Robust Regression and Outlier Detection[M]. New York:Wiley, 2005:158-174. [15] ARCE G R. Nonlinear Signal Processing:a Statistical Approach[M]. New York:Wiley, 2005:303-346. [16] ABDALLAH H, BAGHDADI N, BAILLY J S, et al. Wa-LiD:a new LiDAR simulator for waters[J]. IEEE Geoscience and Remote Sensing Letters, 2012, 9(4):744-748. [17] GESTEL V T, SUYKENS J A K, LANCKRIET A, et al. Bayesian framework for least-squares support vector machine classifiers, Gaussian processes, and kernel Fisher discriminant analysis[J]. Neural Computation, 2002, 15(5):1115-1147. [18] GESTEL V T, SUYKENS J A K, MOOR D B, et al. Bayesian inference for LS-SVMs on larger datasets using the Nystrom method[C]//IJCNN 2002:Proceedings of the 2002 International Joint Conference on Neural Networks. Piscataway, NJ:IEEE, 2002:2779-2784. [19] VONG C M, WONG P K, LI Y P. Prediction of automotive engine power and torque using least squares support vector machines and Bayesian inference[J]. Engineering Applications of Artificial Intelligence, 2006, 19(3):277-287. [20] LI G P, YAN W W, SHAO H H. Iterative optimal control based on support vector machine modeling within the Bayesian evidence framework[J]. Journal of Shanghai University (English Edition),2007, 11(6):591-596. [21] 杨元喜. 抗差估计理论及其应用[M].北京:八一出版社, 1993:71-89.(YANG Y X. Robust Estimation Theory and its Application[M]. Beijing:Bayi Press, 1993:71-89.) [22] 杨元喜, 宋立杰, 徐天河. 大地测量相关观测抗差估计理论[J]. 测绘学报, 2002, 31(2):95-99.(YANG Y X, SONG L J, XU T H. Robust parameter estimation for geodetic correlated observations[J]. Acta Geodaetica et Cartographica Sinica, 2002, 31(2):95-99.) [23] BRABANTER D K, PELCKMANS K, BRABANTER D J, et al. Robustness of kernel based regression:a comparison of iterative schemes[C]//ICANN 2009:Proceedings of the 19th International Conference on Artificial Neural Networks. Berlin:Springer, 2009:100-110. [24] COLLIN A, LONG B, ARCHAMBAULT P. Benthic classification using bathymetric LIDAR waveforms and integration of local spatial statistics and textural features[J]. Journal of Coastal Research, 2011, 27(62):86-98. |