[1] O Nevalainen, E Honkavaara, S Tuominen et al. Individual tree detection and classification with UAV-based photogrammetric point clouds and hyperspectral imaging. Remote Sensing, 9, 185(2017).
[2] Y Zhong, X Wang, Y Xu et al. Mini-UAV-Borne Hyperspectral Remote Sensing: From Observation and Processing to Applications. IEEE Geoscience and Remote Sensing Magazine, 6, 46-62(2018).
[3] Y Fenghua, X Tongyu, D Wen et al. Radiative transfer models (RTMs) for field phenotyping inversion of rice based on UAV hyperspectral remote sensing. International Journal of Agricultural and Biological Engineering, 10, 150-157(2017).
[4] V Gentile, M Mrόz, M Spitoni et al. Bathymetric Mapping of Shallow Rivers with UAV Hyperspectral Data(2016).
[5] Li-Na YI, Yiu XU, Gui-Feng ZHANG et al. Light and Small UAV Hyperspectral Image Mosaicking. Spectroscropy and Spectral Analysis, 39, 1885-1891(2019).
[6] L P Dorado-Munoz, M Velez-Reyes, A Mukherjee et al. A vector SIFT detector for interest point detection in hyperspectral imagery. IEEE transactions on Geoscience and Remote sensing, 50, 4521-4533(2012).
[7] Qiu-Hui XU. A Method of Geometric Correction and Mosaic of Unmanned Aerial Vehicle Remote Sensing Image without Ground Control Points(2013).
[8] C Lei, L Kang, W Wang. Application of POS Technology in Fast Making DOM from Digital Aerial Images, 167-189(2017).
[9] J Gao, S J Kim, M S Brown. Constructing image panoramas using dual-homography warping, 49-56(2011).
[10] W Y Lin, S Liu, Y Matsushita et al. Smoothly varying affine stitching, 345-352(2011).
[11] J Zaragoza, T J Chin, M S Brown et al. As-projective-as-possible image stitching with moving DLT, 2339-2346(2013).
[12] C H Chang, Y Sato, Y Y Chuang. Shape-preserving half-projective warps for image stitching, 3254-3261(2014).
[13] C C Lin, S U Pankanti, K Natesan Ramamurthy et al. Adaptive as-natural-as-possible image stitching, 1155-1163(2015).
[14] Y S Chen, Y Y Chuang. Natural image stitching with the global similarity prior, 186-201(2016).
[15] L Xia, R R Zhang, L P Chen et al. Stitching of hyper-spectral uav images based on feature bands selection. IFAC-PapersOnLine, 49, 1-4(2016).
[16] H Goncalves, L Corte-Real, J A Goncalves. Automatic image registration through image segmentation and SIFT. IEEE Transactions on Geoscience and Remote Sensing, 49, 2589-2600(2011).
[17] Yi-Quan WU, Yang ZHOU, Dong-Hui SHENG, Xiao-Lai YE. Band selection of hyperspectral image based on optimal linear prediction of principal components in subspace. J.Infrared Millim.Waves, 37, 119-128(2018).
[18] C Yuan, M Zhou, L Sun et al. A Multi-Dimensional Hyperspectral Image Mosaic Method and its Acquisition System, 1-6(2018).
[19] Yuan-Xin YE, Si-Yuan HAO, Yun-Gang CAO. Automatic registration of optical and SAR image using geometric structural properties. J.Infrared Millim.Waves, 36, 720-726(2017).
[20] Guo ZHANG, Fan LI. Registration of LASIS spectral bands. J.Infrared Millim.Waves, 35, 505-512(2016).
[21] J Fang, X Wang, T Zhu et al. A Novel Mosaic Method for UAV-Based Hyperspectral Images, 9220-9223(2019).