Journal of Infrared and Millimeter Waves, Volume. 40, Issue 1, 64(2021)
A push-sweep hyperspectral aerial image Mosaic method based on SPHP
[1] Nevalainen O, Honkavaara E, Tuominen S et al. Individual tree detection and classification with UAV-based photogrammetric point clouds and hyperspectral imaging[J]. Remote Sensing, 9, 185(2017).
[2] Zhong Y, Wang X, Xu Y et al. Mini-UAV-Borne Hyperspectral Remote Sensing: From Observation and Processing to Applications[J]. IEEE Geoscience and Remote Sensing Magazine, 6, 46-62(2018).
[3] Fenghua Y, Tongyu X, Wen D et al. Radiative transfer models (RTMs) for field phenotyping inversion of rice based on UAV hyperspectral remote sensing[J]. International Journal of Agricultural and Biological Engineering, 10, 150-157(2017).
[4] Gentile V, Mrόz M, Spitoni M et al. Bathymetric Mapping of Shallow Rivers with UAV Hyperspectral Data[J](2016).
[5] YI Li-Na, XU Yiu, ZHANG Gui-Feng et al. Light and Small UAV Hyperspectral Image Mosaicking[J]. Spectroscropy and Spectral Analysis, 39, 1885-1891(2019).
[6] Dorado-Munoz L P, Velez-Reyes M, Mukherjee A et al. A vector SIFT detector for interest point detection in hyperspectral imagery[J]. IEEE transactions on Geoscience and Remote sensing, 50, 4521-4533(2012).
[7] XU Qiu-Hui. A Method of Geometric Correction and Mosaic of Unmanned Aerial Vehicle Remote Sensing Image without Ground Control Points[D](2013).
[8] Lei C, Kang L, Wang W. Application of POS Technology in Fast Making DOM from Digital Aerial Images[C], 167-189(2017).
[9] Gao J, Kim S J, Brown M S. Constructing image panoramas using dual-homography warping[C], 49-56(2011).
[10] Lin W Y, Liu S, Matsushita Y et al. Smoothly varying affine stitching[C], 345-352(2011).
[11] Zaragoza J, Chin T J, Brown M S et al. As-projective-as-possible image stitching with moving DLT[C], 2339-2346(2013).
[12] Chang C H, Sato Y, Chuang Y Y. Shape-preserving half-projective warps for image stitching[C], 3254-3261(2014).
[13] Lin C C, Pankanti S U, Natesan Ramamurthy K et al. Adaptive as-natural-as-possible image stitching[C], 1155-1163(2015).
[14] Chen Y S, Chuang Y Y. Natural image stitching with the global similarity prior[C], 186-201(2016).
[15] Xia L, Zhang R R, Chen L P et al. Stitching of hyper-spectral uav images based on feature bands selection[J]. IFAC-PapersOnLine, 49, 1-4(2016).
[16] Goncalves H, Corte-Real L, Goncalves J A. Automatic image registration through image segmentation and SIFT[J]. IEEE Transactions on Geoscience and Remote Sensing, 49, 2589-2600(2011).
[17] WU Yi-Quan, ZHOU Yang, SHENG Dong-Hui, YE Xiao-Lai. Band selection of hyperspectral image based on optimal linear prediction of principal components in subspace[J]. J.Infrared Millim.Waves, 37, 119-128(2018).
[18] Yuan C, Zhou M, Sun L et al. A Multi-Dimensional Hyperspectral Image Mosaic Method and its Acquisition System[C], 1-6(2018).
[19] YE Yuan-Xin, HAO Si-Yuan, CAO Yun-Gang. Automatic registration of optical and SAR image using geometric structural properties[J]. J.Infrared Millim.Waves, 36, 720-726(2017).
[20] ZHANG Guo, LI Fan. Registration of LASIS spectral bands[J]. J.Infrared Millim.Waves, 35, 505-512(2016).
[21] Fang J, Wang X, Zhu T et al. A Novel Mosaic Method for UAV-Based Hyperspectral Images[C], 9220-9223(2019).
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Sai LI, Qiu YIN, Yong HU, Cai-Lan GONG. A push-sweep hyperspectral aerial image Mosaic method based on SPHP[J]. Journal of Infrared and Millimeter Waves, 2021, 40(1): 64
Category: Research Articles
Received: Dec. 19, 2019
Accepted: --
Published Online: Aug. 30, 2021
The Author Email: Yong HU (huyong@mail.sitp.ac.cn)