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22 CAST
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22 sinospectroscopy
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Other articles related with "TP391":
1731 REN Wei-jia1, 2, 3, DU Xiang-jun1, 3, DU Yu-qin4*, SUN Rong-lu1, 3, LI Xue-liang1, 3
  Near Infrared Reflection Band Division Method Based on Interval-Valued Intuitionistic Fuzzy Maclaurin Symmetric Mean Aggregation Operator
    SPECTROSCOPY AND SPECTRAL ANALYSIS   2024 Vol.44 (06): 1731-1739 [Abstract] (33) [HTML 1 KB] [PDF 1588 KB] (18)
1425 JI Jing-yu, ZHANG Yu-hua, XING Na, WANG Chang-long, LIN Zhi-long*, YAO Jiang-yi
  Three-Scale Deconstruction and Sparse Representation of Infrared and Visible Image Fusion
    SPECTROSCOPY AND SPECTRAL ANALYSIS   2024 Vol.44 (05): 1425-1438 [Abstract] (32) [HTML 1 KB] [PDF 3311 KB] (11)
1165 ZHANG Fu1, 2, YU Huang1, XIONG Ying3, ZHANG Fang-yuan1, WANG Xin-yue1, LÜ Qing-feng4, WU Yi-ge4, ZHANG Ya-kun1, FU San-ling5*
  Hyperspectral Non-Destructive Detection of Heat-Damaged Maize Seeds
    SPECTROSCOPY AND SPECTRAL ANALYSIS   2024 Vol.44 (04): 1165-1170 [Abstract] (45) [HTML 1 KB] [PDF 12371 KB] (29)
859 ZHANG Fu1, 2, ZHANG Fang-yuan1, CUI Xia-hua1, WANG Xin-yue1, CAO Wei-hua1, ZHANG Ya-kun1, FU San-ling3*
  Identification of Ginkgo Fruit Species by Hyperspectral Image Combined With PSO-SVM
    SPECTROSCOPY AND SPECTRAL ANALYSIS   2024 Vol.44 (03): 859-864 [Abstract] (32) [HTML 1 KB] [PDF 11505 KB] (98)
865 ZHANG Mei-ling, CHEN Yong-jie, WANG Min-juan, LI Min-zan, ZHENG Li-hua*
  A Hyperspectral Deep Learning Model for Predicting Anthocyanin Content in Purple Leaf Lettuce
    SPECTROSCOPY AND SPECTRAL ANALYSIS   2024 Vol.44 (03): 865-871 [Abstract] (35) [HTML 1 KB] [PDF 6049 KB] (104)
534 WANG Kai, XUE Jian-xin*, LI Yao-di, ZHANG Ming-yue
  Hyperspectral Study on Polyphenol Oxidase Content of Cauliflower at the Early Stages of Gray Mold Infection
    SPECTROSCOPY AND SPECTRAL ANALYSIS   2024 Vol.44 (02): 534-541 [Abstract] (53) [HTML 1 KB] [PDF 7899 KB] (34)
542 MENG Xing-zhi, LIU Ya-qiu*, LIU Li-na
  Raman Spectroscopy Combined With the WGANGP-ResNet Algorithm to Identify Pathogenic Species
    SPECTROSCOPY AND SPECTRAL ANALYSIS   2024 Vol.44 (02): 542-547 [Abstract] (50) [HTML 1 KB] [PDF 5298 KB] (79)
234 LI He1, WANG Yu2, FAN Kai2, MAO Yi-lin2, DING Shi-bo3, SONG Da-peng3, WANG Meng-qi3, DING Zhao-tang1*
  Evaluation of Freezing Injury Degree of Tea Plant Based on Deep Learning, Wavelet Transform and Visible Spectrum
    SPECTROSCOPY AND SPECTRAL ANALYSIS   2024 Vol.44 (01): 234-240 [Abstract] (68) [HTML 1 KB] [PDF 34276 KB] (88)
241 GAO Hong-sheng1, GUO Zhi-qiang1*, ZENG Yun-liu2, DING Gang2, WANG Xiao-yao2, LI Li3
  Early Classification and Detection of Kiwifruit Soft Rot Based on Hyperspectral Image Band Fusion
    SPECTROSCOPY AND SPECTRAL ANALYSIS   2024 Vol.44 (01): 241-249 [Abstract] (69) [HTML 1 KB] [PDF 14992 KB] (64)
3266 YANG Chun-mei1, ZHU Zan-bin1, 2*, LI Yu-cheng1, MA Yan1, SONG Hai-yang3
  Bark Content Determination of Ultra-Thin Fibreboard by Hyperspectral Technique
    SPECTROSCOPY AND SPECTRAL ANALYSIS   2023 Vol.43 (10): 3266-3271 [Abstract] (71) [HTML 1 KB] [PDF 3674 KB] (27)
2928 ZHANG Fu1, 2, WANG Xin-yue1, CUI Xia-hua1, YU Huang1, CAO Wei-hua1, ZHANG Ya-kun1, XIONG Ying3, FU San-ling4*
  Identification of Maize Varieties by Hyperspectral Combined With Extreme Learning Machine
    SPECTROSCOPY AND SPECTRAL ANALYSIS   2023 Vol.43 (09): 2928-2934 [Abstract] (162) [HTML 1 KB] [PDF 8555 KB] (35)
2935 YE Wen-chao1, LUO Shui-yang1, LI Jin-hao1, LI Zhao-rong1, FAN Zhi-wen1, XU Hai-tao1, ZHAO Jing1, LAN Yu-bin1, 2, DENG Hai-dong1*, LONG Yong-bing1, 2, 3*
  Research on Classification Method of Hybrid Rice Seeds Based on the Fusion of Near-Infrared Spectra and Images
    SPECTROSCOPY AND SPECTRAL ANALYSIS   2023 Vol.43 (09): 2935-2941 [Abstract] (100) [HTML 1 KB] [PDF 11497 KB] (67)
2348 ZHANG Hong-tao, ZHAO Xin-tao, TAN Lian, WANG Long-jie
  Research and Development of Microscopic Hyperspectral Imaging in Biological Detection
    SPECTROSCOPY AND SPECTRAL ANALYSIS   2023 Vol.43 (08): 2348-2353 [Abstract] (108) [HTML 1 KB] [PDF 1286 KB] (241)
2596 LI Shu-fei1, LI Kai-yu1, QIAO Yan2, ZHANG Ling-xian1*
  Cucumber Disease Detection Method Based on Visible Light Spectrum and Improved YOLOv5 in Natural Scenes
    SPECTROSCOPY AND SPECTRAL ANALYSIS   2023 Vol.43 (08): 2596-2600 [Abstract] (87) [HTML 1 KB] [PDF 8900 KB] (57)
2601 ZHANG Hai-liang1, XIE Chao-yong1, LUO Wei1, WANG Chen2, NIE Xun1, TIAN Peng1, LIU Xue-mei3, ZHAN Bai-shao1*
  Salmon Fat Visualization Based on MCR-ALS Hyperspectral Reconstruction
    SPECTROSCOPY AND SPECTRAL ANALYSIS   2023 Vol.43 (08): 2601-2607 [Abstract] (99) [HTML 1 KB] [PDF 16027 KB] (33)
2266 MAO Yi-lin1, LI He1, WANG Yu1, FAN Kai1, SUN Li-tao2, WANG Hui3, SONG Da-peng3, SHEN Jia-zhi2*, DING Zhao-tang1, 2*
  Quantitative Judgment of Freezing Injury of Tea Leaves Based on Hyperspectral Imaging
    SPECTROSCOPY AND SPECTRAL ANALYSIS   2023 Vol.43 (07): 2266-2271 [Abstract] (114) [HTML 1 KB] [PDF 9843 KB] (84)
1248 LI Kai-yu1, ZHANG Hui2, MA Jun-cheng3, ZHANG Ling-xian1*
  Segmentation Method for Crop Leaf Spot Based on Semantic Segmentation and Visible Spectral Images
    SPECTROSCOPY AND SPECTRAL ANALYSIS   2023 Vol.43 (04): 1248-1253 [Abstract] (118) [HTML 1 KB] [PDF 6298 KB] (62)
1254 ZHONG Jing-jing1, 2, LIU Xiao1, 3, WANG Xue-ji1, 3, LIU Jia-cheng1, 3, LIU Hong1, 3, QI Chen1, 3, LIU Yu-yang1, 2, 3, YU Tao1, 3*
  A Multidimensional Information Fusion Algorithm for Polarization Spectrum Reconstruction Based on Nonsubsampled Contourlet Transform
    SPECTROSCOPY AND SPECTRAL ANALYSIS   2023 Vol.43 (04): 1254-1261 [Abstract] (90) [HTML 1 KB] [PDF 22694 KB] (72)
1262 SU Ling1, 2, BU Ya-ping1, 2, LI Yuan-yuan2, WANG Qi1, 2*
  Study on the Prediction Method of Pleurotus Ostreatus Protein and Polysaccharide Content Based on Fourier Transform Infrared Spectroscopy
    SPECTROSCOPY AND SPECTRAL ANALYSIS   2023 Vol.43 (04): 1262-1267 [Abstract] (147) [HTML 1 KB] [PDF 2030 KB] (210)
577 YANG Cheng-en1, SU Ling2, FENG Wei-zhi1, ZHOU Jian-yu1, WU Hai-wei1*, YUAN Yue-ming1, WANG Qi2*
  Identification of Pleurotus Ostreatus From Different Producing Areas Based on Mid-Infrared Spectroscopy and Machine Learning
    SPECTROSCOPY AND SPECTRAL ANALYSIS   2023 Vol.43 (02): 577-582 [Abstract] (165) [HTML 1 KB] [PDF 3533 KB] (67)
583 XIA Tong, LIU Yi-wei, GAO Yuan, CHENG Jie*, YIN Jian
  Model-Fitting Methods for Mineral Raman Spectra Classification
    SPECTROSCOPY AND SPECTRAL ANALYSIS   2023 Vol.43 (02): 583-589 [Abstract] (155) [HTML 1 KB] [PDF 2415 KB] (77)
590 FENG Xin1, 2, FANG Chao1*, GONG Hai-feng2, LOU Xi-cheng1, PENG Ye1
  Infrared and Visible Image Fusion Based on Two-Scale Decomposition and Saliency Extraction
    SPECTROSCOPY AND SPECTRAL ANALYSIS   2023 Vol.43 (02): 590-596 [Abstract] (111) [HTML 1 KB] [PDF 24057 KB] (47)
268 CHEN Yong1, 2, GUO Yun-zhu1, WANG Wei3*, WU Xiao-hong1, 2*, JIA Hong-wen4, WU Bin4
  Clustering Analysis of FTIR Spectra Using Fuzzy K-Harmonic-Kohonen Clustering Network
    SPECTROSCOPY AND SPECTRAL ANALYSIS   2023 Vol.43 (01): 268-272 [Abstract] (91) [HTML 1 KB] [PDF 1006 KB] (42)
273 LI Yun-xia1, MA Jun-cheng2, LIU Hong-jie3, ZHANG Ling-xian1*
  Tillering Number Estimation of Winter Wheat Based on Visible Spectrogram and Lightweight Convolutional Neural Network
    SPECTROSCOPY AND SPECTRAL ANALYSIS   2023 Vol.43 (01): 273-279 [Abstract] (104) [HTML 1 KB] [PDF 3087 KB] (48)
280 ZHANG Qian1, YANG Ying1*, LIU Gang1, 2, 3, WU Xiao1, NING Yuan-lin1
  Detection of Dairy Cow Mastitis From Thermal Images by Data Enhancement and Improved ResNet34
    SPECTROSCOPY AND SPECTRAL ANALYSIS   2023 Vol.43 (01): 280-288 [Abstract] (142) [HTML 1 KB] [PDF 4504 KB] (48)
289 ZHU Wen-qing1, 2, 3, ZHANG Ning1, 2, 3, LI Zheng1, 2, 3*, LIU Peng1, 3, TANG Xin-yi1, 3
  A Multi-Task Convolutional Neural Network for Infrared and Visible Multi-Resolution Image Fusion
    SPECTROSCOPY AND SPECTRAL ANALYSIS   2023 Vol.43 (01): 289-296 [Abstract] (126) [HTML 1 KB] [PDF 6353 KB] (118)
3615 XU Xue-bin1, 2, XING Xiao-min1, 2*, AN Mei-juan1, 2, CAO Shu-xin1, 2, MENG Kan1, 2, LU Long-bin1, 2
  Palmprint Recognition Method Based on Multispectral Image Fusion
    SPECTROSCOPY AND SPECTRAL ANALYSIS   2022 Vol.42 (11): 3615-3625 [Abstract] (85) [HTML 1 KB] [PDF 8412 KB] (69)
3291 ZHANG Fu1, 2, 3, WANG Xin-yue2, CUI Xia-hua2, CAO Wei-hua2, ZHANG Xiao-dong1*, ZHANG Ya-kun2
  Classification of Qianxi Tomatoes by Visible/Near Infrared Spectroscopy Combined With GMO-SVM
    SPECTROSCOPY AND SPECTRAL ANALYSIS   2022 Vol.42 (10): 3291-3297 [Abstract] (157) [HTML 1 KB] [PDF 3150 KB] (82)
3298 ZHANG Yang1, 2, YUE Jun1*, JIA Shi-xiang1, LI Zhen-bo2, SHENG Guo-rui1
  Recognition of Shellfish Based on Visible Spectrum and Convolutional Neural Network
    SPECTROSCOPY AND SPECTRAL ANALYSIS   2022 Vol.42 (10): 3298-3306 [Abstract] (98) [HTML 1 KB] [PDF 8204 KB] (79)
2969 ZHANG Yan1, 2, 3,WU Hua-rui1, 2, 3,ZHU Hua-ji1, 2, 3*
  Hyperspectral Latent Period Diagnosis of Tomato Gray Mold Based on TLBO-ELM Model
    SPECTROSCOPY AND SPECTRAL ANALYSIS   2022 Vol.42 (09): 2969-2975 [Abstract] (118) [HTML 1 KB] [PDF 4789 KB] (32)
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