Spectroscopy and Spectral Analysis, Volume. 44, Issue 3, 807(2024)
Mix Convolutional Neural Networks for Hyperspectral Wheat Variety Discrimination
[1] [1] Sun Ke,Wang Zhengjie,Tu Kang,et al.Scientific Reports,2016,6(1):37994(https:doi.org/10.1038/srep37994).
[2] [2] Jin Songlin,Zhang Weidong,Yang Pengfei,et al.Computers and Electrical Engineering,2022,101:108077.
[3] [3] Huang Min,Tang Jinya,Yang Bao,et al.Computers and Electronics in Agriculture,2016,122:139.
[4] [4] Jin Baichuan,Zhang Chu,Jia Liangquan,et al.ACS Omega,2022,7(6):4735.
[5] [5] Wei Yanlin,Li Xiaofeng,Pan Xin,et al.Sensors,2020,20(23):6980.
[7] [7] Sivakumar Mahesh,Jayas Digvir S,Paliwal Jitendra,et al.Transactions of the ASABE,2014,57(1):63.
[8] [8] Fabiyi Samson Damilola,Vu Hai,Tachtatzis Christos,et al.IEEE Access,2020,8:22493.
[9] [9] Miao Aimin,Zhuang Jiajun,Tang Yu,et al.Sensors,2018,18(12):4391.
[10] [10] Wang L,Pang L,Yan L,et al.Journal of Applied Spectroscopy,2022,89(1):84.
[11] [11] Sivakumar Chitra,Chaudhry Muhammad Mudassir Arif,Paliwal Jitendra.LWT,2022,154:112799.
[12] [12] Shao Yuanyuan,Shi Yukang,Xuan Guantao,et al.Vibrational Spectroscopy,2022,118:103340.
[14] [14] Nie Pengcheng,Zhang Jinnuo,Feng Xuping,et al.Sensors and Actuators B:Chemical,2019,296:126630.
[15] [15] Zhao Xin,Que Haotiao,Sun Xiulan,et al.Infrared Physics & Technology,2022, 125:104270.
[16] [16] Wu Na,Weng Shizhuang,Chen Jinxin,et al.Computers and Electronics in Agriculture,2022,196:106850.
[17] [17] Gai Zhaodong,Sun Laijun,Bai Hongyi,et al.Spectrochimica Acta Part A:Molecular and Biomolecular Spectroscopy,2022, 279:121432.
[18] [18] Liu Hongyu,Qu Fuheng,Yang Yong,et al.Journal of Physics:Conference Series,2022,2284(1):012017.
[19] [19] Hao Jie,Dong Fujia,Li Yalei,et al.Infrared Physics & Technology,2022, 125:104286.
[20] [20] Ji Shuiwang,Xu Wei,Yang Ming,et al.IEEE Transactions on Pattern Analysis and Machine Intelligence,2012,35(1):221.
[21] [21] Woo Sanghyun,Park Jongchan,Lee Joon-Young,et al.CBAM:Convolutional Block Attention Module,European Conference on Computer Vision, 2018.3.
[22] [22] Chen Yingnong,Thaipisutikul Tipajin,Han Chinchuan,et al.Remote Sensing,2021,13(1):130.
[23] [23] Liu Ziwei,Jiang Jinbao,Du Ying,et al.IEEE Access,2021,9:147527.
[24] [24] Tang Haojin,Huang Zhiquan,Li Yanshan,et al.IEEE Geoscience and Remote Sensing Letters,2022,19:1.
[25] [25] Li Qiaosi,Wong Frankie Kwan Kit,Fung Tung.Remote Sensing of Environment,2021,258:112403.
[27] [27] Paoletti Mercedes E,Haut Juan Mario,Fernandez-Beltran Ruben,et al.IEEE Transactions on Geoscience and Remote Sensing,2018,57(2):740.
[28] [28] Roy S K, Krishna G, Dubey S R,et al.IEEE Geoscience and Remote Sensing Letters,2019,17(2):277.
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LI Guo-hou, LI Ze-xu, JIN Song-lin, ZHAO Wen-yi, PAN Xi-peng, LIANG Zheng, QIN Li, ZHANG Wei-dong. Mix Convolutional Neural Networks for Hyperspectral Wheat Variety Discrimination[J]. Spectroscopy and Spectral Analysis, 2024, 44(3): 807
Received: Aug. 10, 2022
Accepted: --
Published Online: Aug. 6, 2024
The Author Email: Wei-dong ZHANG (zwd_wd@163.com)