Research on Classification of Pest and Disease Tree Samples Based on Hyperspectral Lidar

Jing Lu; Jiuying Chen; Wei Li; Mei Zhou; Jian Hu; Wenxin Tian; Chuanrong Li

doi:10.3788/LOP202158.1628004

[1] Dai Y J. Principles of lidar[M](2002).

[2] Du M. Developing lidar[J]. Modern Weaponiy, 32-34(2001).

[3] Sun M F. A Review of the development of lidar for earth observation[J]. Electro-optical Systems, 1-6(2009).

[4] Fan X H, Xu G L, Li W L et al. Target segmentation method for three-dimensional LiDAR point cloud based on depth image[J]. Chinese Journal of Lasers, 46, 0710002(2019).

[5] Hu Y W, Wang J J, Fan Y Y et al. LiDAR-based three-dimensional modeling and volume calculation for space objects[J]. Chinese Journal of Lasers, 47, 0510001(2020).

[6] Chen X Y, Yun T, Xue L F et al. Classification of tree species based on LiDAR point cloud data[J]. Laser & Optoelectronics Progress, 56, 122801(2019).

[7] Liu Q W, Li Z Y, Chen E X et al. Waveform characteristics analysis of forest canopy detection lidar[J]. Scientia Sinica (Terrae), 41, 1670-1678(2011).

[8] Chen Y W, Räikkönen E, Kaasalainen S et al. Two-channel hyperspectral LiDAR with a supercontinuum laser source[J]. Sensors, 10, 7057-7066(2010).

[9] Shi S, Gong W, Zhu B et al. A novel multi-spectral LiDAR for earth observation and implementation of control system[J]. Geomatics and Information Science of Wuhan University, 38, 1294-1297(2013).

[10] Wang Z, Chen Y, Li C et al. A Hyperspectral LiDAR with Eight Channels Covering from VIS to SWIR[C]. //IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium, July 22-27, 2018, Valencia, Spain., 18244005(2018).

[11] Li H. Statistical learning methods[M](2012).

[12] Cortes C, Vapnik V. Support-vector networks[J]. Machine Learning, 20, 273-297(1995).

[13] Stephan R S. The nature of statistical learning theory[J]. Technometrics, 38, 409-409(1997).

[14] Li C R. Uav remote sensing load comprehensive verification system technology[M](2014).

[15] Feng W, Guo T C, Xie Y X et al. Spectrum analytical technique and its applications for the crop growth detection[J]. Chinese Agricultural Science Bulletin, 192-198(2009).

[16] Fu Y, Li K L. A survey of model parameters selection method for support vector machines[J]. Computer Knowledge and Technology, 6, 8081-8082, 8085(2010).

[17] Lin C J. Classification of multiclass data by support vector method (1/2)[M](2002).