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Other articles related with "TP39":

	1165	ZHANG Fu^{1, 2}, YU Huang¹, XIONG Ying³, ZHANG Fang-yuan¹, WANG Xin-yue¹, LÜ Qing-feng⁴, WU Yi-ge⁴, ZHANG Ya-kun¹, FU San-ling^5*
		Hyperspectral Non-Destructive Detection of Heat-Damaged Maize Seeds
		SPECTROSCOPY AND SPECTRAL ANALYSIS 2024 Vol.44 (04): 1165-1170 [Abstract] (22) [HTML 1 KB] [PDF 12371 KB] (11)

	859	ZHANG Fu^{1, 2}, ZHANG Fang-yuan¹, CUI Xia-hua¹, WANG Xin-yue¹, CAO Wei-hua¹, ZHANG Ya-kun¹, FU San-ling^3*
		Identification of Ginkgo Fruit Species by Hyperspectral Image Combined With PSO-SVM
		SPECTROSCOPY AND SPECTRAL ANALYSIS 2024 Vol.44 (03): 859-864 [Abstract] (24) [HTML 1 KB] [PDF 11505 KB] (57)

	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] (25) [HTML 1 KB] [PDF 6049 KB] (54)

	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] (36) [HTML 1 KB] [PDF 7899 KB] (21)

	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] (36) [HTML 1 KB] [PDF 5298 KB] (39)

	234	LI He¹, WANG Yu², FAN Kai², MAO Yi-lin², DING Shi-bo³, SONG Da-peng³, WANG Meng-qi³, DING Zhao-tang^1*
		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] (58) [HTML 1 KB] [PDF 34276 KB] (72)

	241	GAO Hong-sheng¹, GUO Zhi-qiang^1*, 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] (54) [HTML 1 KB] [PDF 14992 KB] (47)

	3266	YANG Chun-mei¹, ZHU Zan-bin^{1, 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] (65) [HTML 1 KB] [PDF 3674 KB] (24)

	2928	ZHANG Fu^{1, 2}, WANG Xin-yue¹, CUI Xia-hua¹, YU Huang¹, CAO Wei-hua¹, ZHANG Ya-kun¹, XIONG Ying³, FU San-ling^4*
		Identification of Maize Varieties by Hyperspectral Combined With Extreme Learning Machine
		SPECTROSCOPY AND SPECTRAL ANALYSIS 2023 Vol.43 (09): 2928-2934 [Abstract] (143) [HTML 1 KB] [PDF 8555 KB] (31)

	2935	YE Wen-chao¹, LUO Shui-yang¹, LI Jin-hao¹, LI Zhao-rong¹, FAN Zhi-wen¹, XU Hai-tao¹, ZHAO Jing¹, LAN Yu-bin^{1, 2}, DENG Hai-dong^1, LONG Yong-bing^{1, 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] (88) [HTML 1 KB] [PDF 11497 KB] (59)

	2942	DENG Yun^{1, 2}, NIU Zhao-wen^{1, 2}, FENG Qi-yao^{1, 2}, WANG Yu^{1, 2*}
		A Novel Hyperspectral Prediction Model of Organic Matter in Red Soil Based on Improved Temporal Convolutional Network
		SPECTROSCOPY AND SPECTRAL ANALYSIS 2023 Vol.43 (09): 2942-2951 [Abstract] (91) [HTML 1 KB] [PDF 13857 KB] (48)

	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] (100) [HTML 1 KB] [PDF 1286 KB] (156)

	2596	LI Shu-fei¹, LI Kai-yu¹, QIAO Yan², ZHANG Ling-xian^1*
		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] (81) [HTML 1 KB] [PDF 8900 KB] (55)

	2601	ZHANG Hai-liang¹, XIE Chao-yong¹, LUO Wei¹, WANG Chen², NIE Xun¹, TIAN Peng¹, LIU Xue-mei³, ZHAN Bai-shao^1*
		Salmon Fat Visualization Based on MCR-ALS Hyperspectral Reconstruction
		SPECTROSCOPY AND SPECTRAL ANALYSIS 2023 Vol.43 (08): 2601-2607 [Abstract] (87) [HTML 1 KB] [PDF 16027 KB] (31)

	2266	MAO Yi-lin¹, LI He¹, WANG Yu¹, FAN Kai¹, SUN Li-tao², WANG Hui³, SONG Da-peng³, SHEN Jia-zhi^2, DING Zhao-tang^{1, 2}
		Quantitative Judgment of Freezing Injury of Tea Leaves Based on Hyperspectral Imaging
		SPECTROSCOPY AND SPECTRAL ANALYSIS 2023 Vol.43 (07): 2266-2271 [Abstract] (106) [HTML 1 KB] [PDF 9843 KB] (84)

	1248	LI Kai-yu¹, ZHANG Hui², MA Jun-cheng³, ZHANG Ling-xian^1*
		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] (104) [HTML 1 KB] [PDF 6298 KB] (60)

	1254	ZHONG Jing-jing^{1, 2}, LIU Xiao^{1, 3}, WANG Xue-ji^{1, 3}, LIU Jia-cheng^{1, 3}, LIU Hong^{1, 3}, QI Chen^{1, 3}, LIU Yu-yang^{1, 2, 3}, YU Tao^{1, 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] (85) [HTML 1 KB] [PDF 22694 KB] (63)

	1262	SU Ling^{1, 2}, BU Ya-ping^{1, 2}, LI Yuan-yuan², WANG Qi^{1, 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] (119) [HTML 1 KB] [PDF 2030 KB] (165)

	577	YANG Cheng-en¹, SU Ling², FENG Wei-zhi¹, ZHOU Jian-yu¹, WU Hai-wei^1, YUAN Yue-ming¹, WANG Qi^2
		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] (135) [HTML 1 KB] [PDF 3533 KB] (65)

	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] (146) [HTML 1 KB] [PDF 2415 KB] (75)

	590	FENG Xin^{1, 2}, FANG Chao^1*, 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] (103) [HTML 1 KB] [PDF 24057 KB] (46)

	268	CHEN Yong^{1, 2}, GUO Yun-zhu¹, WANG Wei^3, WU Xiao-hong^{1, 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] (81) [HTML 1 KB] [PDF 1006 KB] (40)

	273	LI Yun-xia¹, MA Jun-cheng², LIU Hong-jie³, ZHANG Ling-xian^1*
		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] (91) [HTML 1 KB] [PDF 3087 KB] (44)

	280	ZHANG Qian¹, YANG Ying^1*, LIU Gang^{1, 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] (130) [HTML 1 KB] [PDF 4504 KB] (45)

	289	ZHU Wen-qing^{1, 2, 3}, ZHANG Ning^{1, 2, 3}, LI Zheng^{1, 2, 3*}, LIU Peng^{1, 3}, TANG Xin-yi^{1, 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] (118) [HTML 1 KB] [PDF 6353 KB] (100)

	3615	XU Xue-bin^{1, 2}, XING Xiao-min^{1, 2*}, AN Mei-juan^{1, 2}, CAO Shu-xin^{1, 2}, MENG Kan^{1, 2}, LU Long-bin^{1, 2}
		Palmprint Recognition Method Based on Multispectral Image Fusion
		SPECTROSCOPY AND SPECTRAL ANALYSIS 2022 Vol.42 (11): 3615-3625 [Abstract] (83) [HTML 1 KB] [PDF 8412 KB] (69)

	3291	ZHANG Fu^{1, 2, 3}, WANG Xin-yue², CUI Xia-hua², CAO Wei-hua², ZHANG Xiao-dong^1*, 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] (149) [HTML 1 KB] [PDF 3150 KB] (81)

	3298	ZHANG Yang^{1, 2}, YUE Jun^1*, 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] (89) [HTML 1 KB] [PDF 8204 KB] (78)

	2969	ZHANG Yan^{1, 2, 3}，WU Hua-rui^{1, 2, 3}，ZHU Hua-ji^{1, 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] (100) [HTML 1 KB] [PDF 4789 KB] (30)

	2247	WANG Cheng-kun^{2, 3}, ZHAO Peng^{1, 2*}, LI Xiang-hua²
		*Similar Wood Species Classification Within Pterocarpus* Genus Using Feature Fusion**
		SPECTROSCOPY AND SPECTRAL ANALYSIS 2022 Vol.42 (07): 2247-2254 [Abstract] (109) [HTML 1 KB] [PDF 5324 KB] (52)

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