- 1.
Abdallah H, Baghdadi N, Bailly J S, Pastol Y and Fabre F. 2012. Wa-LiD: a new LiDAR simulator for waters. IEEE Geoscience and Remote Sensing Letters, 9(4): 744-748
- 2.
Alexander C, Tansey K, Kaduk J, Holland D and Tate N J. 2010. Backscatter coefficient as an attribute for the classification of full-waveform airborne laser scanning data in urban areas. ISPRS Journal of Photogrammetry and Remote Sensing, 65(5): 423-432
- 3.
Ayustina R, Aulia Z, Mustakin H, Alam F, Amron A, Yuwono D, Ahmad T, Prayogo A and Sari F. 2018. Classification of shallow water seabed profile based on Landsat 8 imagery and in-situ data. Case study in Gili Matra Island Lombok, Indonesia. E3S Web of Conferences, 47: 04002
- 4.
Chen J, Mao X C, Liu Z K and Deng H. 2020. Three-dimensional metallogenic prediction based on random forest classification algorithm for the Dayingezhuang gold deposit. Geotectonica et Metallogenia, 44(2): 231-241
- 5.
Chen J B, Wu Z Y, Zhao D N, Zhou J Q, Li S J and Shang J H. 2017. Back propagation neural network classification of sediment seabed acoustic sonar images based on particle swarm optimization algorithms. Acta Oceanologica Sinica, 39(9): 51-57
- 6.
Chen K. 2021. Research on Feature Selection Methods for High-Dimensional Classification. Ji’nan: Shandong University
- 7.
Dai M F, Xing S, Xu Q, Li P C and Chen K. 2022. Semantic segmentation of airborne LiDAR point cloud based on multi-feature fusion and geometric convolution. Journal of Image and Graphics, 27(2): 574-585
- 8.
Eren F, Pe'Eri S, Rzhanov Y and Ward L. 2018. Bottom characterization by using airborne lidar bathymetry (ALB) waveform features obtained from bottom return residual analysis. Remote Sensing of Environment, 206: 260-274
- 9.
Ge Q, Ruan F X, Qiao B J, Zhang Q, Zuo X Y and Dang L X. 2021. Side-scan sonar image classification based on style transfer and pre-trained convolutional neural networks. Electronics, 10(15): 1823
- 10.
Hou D J, Wu C, Li C Z, Guo S M and Wu J J. 2019. Energy calibration and performance testing of LEGe detector. The Journal of Engineering, 2019(23): 9031-9034
- 11.
Huang L L, Tang J, Sun D D and Luo B. 2012. Feature selection algorithm based on multi-label ReliefF. Journal of Computer Applications, 32(10): 2888-2890, 2898
- 12.
Joanes D N and Gill C A. 1998. Comparing measures of sample skewness and kurtosis. Journal of the Royal Statistical Society: Series D (The Statistician), 47(1): 183-189
- 13.
Lai X D and Zheng M. 2015. A denoising method for LiDAR full-waveform data. Mathematical Problems in Engineering, 2015: 164318
- 14.
Lee A L, Bartle K D and Lewis A C. 2001. A model of peak amplitude enhancement in orthogonal two-dimensional gas chromatography. Analytical Chemistry, 73(6): 1330-1335
- 15.
Li L F, Liu F, Wang C and Chen L S. 2012. Measurement and control of residual amplitude modulation in optical phase modulation. Review of Scientific Instruments, 83(4): 043111
- 16.
Liu Y M, Deng R R, Qin Y and Liang Y H. 2017. Data processing methods and applications of airborne LiDAR bathymetry. Journal of Remote Sensing, 21(6): 982-995
- 17.
Liu Y X, Guo K, He X F, Xu W X and Feng Y K. 2017. Research progress of airborne laser bathymetry technology. Geomatics and Information Science of Wuhan University, 42(9): 1185-1194
- 18.
Matsatsinis N F and Samaras A P. 2000. Brand choice model selection based on consumers’ multicriteria preferences and experts’ knowledge. Computers and Operations Research, 27(7/8): 689-707
- 19.
Qi C, Su D P, Wang X K, Wang M W, Shi B and Yang F L. 2019. Fitting algorithm for airborne laser bathymetric waveforms based on layered heterogeneous model. Infrared and Laser Engineering, 48(2): 206004
- 20.
Qi C, Zhou F N, Wu J W, Su D P, Wang X K and Yang F L. 2021. Extraction method for diffuse attenuation coefficient based on airborne LiDAR bathymetric water column waveform. Acta Oceanologica Sinica, 43(1): 147-154
- 21.
Qiao J G, Liu X P and Zhang Y H. 2011. Land cover classification using LiDAR height texture and ANNs. Journal of Remote Sensing, 15(3): 539-553
- 22.
Su D P, Yang F L, Ma Y, Zhang K, Huang J and Wang M W. 2019. Classification of coral reefs in the South China Sea by combining airborne LiDAR bathymetry bottom waveforms and bathymetric features. IEEE Transactions on Geoscience and Remote Sensing, 57(2): 815-828
- 23.
Tang Q H, Li J, Zhou X H, Lu K and Zhang Z Z. 2014. Seabed sonar image analysis and acoustic seabed classification in the south of the Cheju Island. Acta Oceanologica Sinica, 36(7): 133-141
- 24.
Velasco J, Molina I, Martinez E, Arquero A and Prieto J F. 2014. Sea bottom classification by means of bathymetric LIDAR data. IEEE Latin America Transactions, 12(4): 590-595
- 25.
Xu C. 2014. Study on Seabed Classification Technology Based on Multibeam Bathymetry Sonar. Harbin: Harbin Engineering University
- 26.
Yang F L, Zhu Z R, Li J B, Feng C K, Xing Z and Wu Z Y. 2021. Seafloor classification based on combined multibeam bathymetry and backscatter using deep convolution neural network. Acta Geodaetica et Cartographica Sinica, 50(1): 71-84
- 27.
Yang M L, Fan Y G and Li B Y. 2020. Research on dimensionality reduction and classification of hyperspectral images based on LDA and ELM. Journal of Electronic Measurement and Instrumentation, 34(5): 190-196
- 28.
Zang Z, Lin H and Yang M H. 2014. Dimensional reduction and classification of hyperspectral data for tree species using PCA algorithm. Science of Surveying and Mapping, 39(2): 146-149
- 29.
Zhang H. 2012. Characteristic weighting FCM based on improved ReliefF algorithm. Shipboard Electronic Countermeasure, 35(1): 79-82, 85
- 30.
Zhao Y X and Zhao T. 2020. Survey of the intelligent seabed sediment classification technology based on sonar images. CAAI Transactions on Intelligent Systems, 15(3): 587-600