Hyperspectral Image Mosaicking Based on Double-Layer Fusion of Image and Data

Jiangang Tu; Hui Wang; Cheng Xu; Jinjun Ju; Zenghui Shen

doi:10.3788/LOP202158.0210016

[1] Yan M, Zhao H D, Li Y H et al. Multi-classification and recognition of hyperspectral remote sensing objects based on convolutional neural network[J]. Laser & Optoelectronics Progress, 56, 021702(2019).

[2] Zhang C M, Mu T K, Yan T Y et al. Overview of hyperspectral remote sensing technology[J]. Spacecraft Recovery & Remote Sensing, 39, 104-114(2018).

[3] Tian M L, Ge X Y, Ding J L et al. Coupled machine learning and unmanned aerial vehicle based hyperspectral data for soil moisture content estimation[J]. Laser & Optoelectronics Progress, 57, 093002(2020).

[4] Wang P, Zhang Y J, Sun C K et al. Multi-camera three-dimensional measurement system using an image stitching method based on flexible calibration target positioning[J]. Acta Optica Sinica, 40, 0412003(2020).

[5] Li Z Y, Tian Y, Chen F J et al. Aerial image stitching algorithm for unmanned aerial vehicles based on improved ORB and PROSAC[J]. Laser & Optoelectronics Progress, 56, 231003(2019).

[6] Wang Y, Yang J X, Liu L et al. Computational reconstruction of integral imaging based on elemental images stitching[J]. Acta Optica Sinica, 39, 1110001(2019).

[7] Yi L N, Xu X, Zhang G F et al. Light and small UAV hyperspectral image mosaicking[J]. Spectroscopy and Spectral Analysis, 39, 1885-1891(2019).

[8] Liu L, Yi X J. Research on hyper-spectral image stitching based on multi-sensor registration[J]. Laser Journal, 41, 123-126(2020).

[9] Huang Y, Chen X H, Liu Y L et al. UAV hyperspectral built-in push-scan image fast splicing method[J]. Journal of Geomatics, 44, 24-28(2019).

[10] Qi N X, Cao L J, Yang X G et al. Improved SIFT matching algorithm based on orientation constraint[J]. Computer Science, 41, 125-128, 163(2014).

[11] Chen H, Xiao Y, Xiao C L et al. Adaptive image matching algorithm based on SIFT operator fused with maximum dissimilarity coefficient[J]. Journal of Computer Applications, 38, 1410-1414(2018).

[12] Yuan X P, Zhang Y, Zhang X et al. ORB feature matching algorithm based on improved FAST detection[J]. Science Technology and Engineering, 19, 233-238(2019).

[13] Song J Q, Wang X Y. Improved SIFT matching algorithm based on canny operator and K-L transformation[J]. Video Engineering, 38, 61-64, 75(2014).

[14] Li J. The adaptive tracking method of multi-dimensional feature point set in target decoration image[J]. Machine Design and Manufacturing Engineering, 48, 96-99(2019).

[15] Yang S, Xia M H, Zheng Z S. Medical image registration algorithm based on polynomial deterministic matrix and SIFT transform[J]. Laser & Optoelectronics Progress, 53, 081002(2016).

[16] Xu X, Sun S Y, Sha Y J et al. A method of infrared image mosaic based on improved RANSAC[J]. Laser & Optoelectronics Progress, 51, 111001(2014).

[17] Yao L J, Zhou G F, Ni Z J et al. Matching method for fruit surface image based on scale invariant feature transform algorithm[J]. Transactions of the Chinese Society of Agricultural Engineering, 31, 161-166(2015).

[18] Wang J C, Li L H, Yang S L. Experimental study on gray and texture features extraction of coal and gangue image under different illuminance[J]. Journal of China Coal Society, 43, 3051-3061(2018).

[19] Zhang Q, Zou X J, Lin G C et al. Image feature extraction and online grading method for weight and shape of strawberry[J]. Journal of System Simulation, 31, 7-15(2019).

[20] Wang D W, Chen P, Li D X et al. Depth maps inpainting with fused texture information[J]. Systems Engineering and Electronics, 41, 1720-1725(2019).