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Other articles related with "TP3":

	1652	ZHOU Zi-jie¹, ZHANG Bao-feng^2, YU Xiao^2
		Infrared Spectroscopic Image Segmentation Based on Neural Immune Network With Growing Immune Field
		SPECTROSCOPY AND SPECTRAL ANALYSIS 2021 Vol.41 (05): 1652-1660 [Abstract] (211) [HTML 1 KB] [PDF 3616 KB] (78)

	1097	LI Si-hai¹, LIU Dong-ling²
		Quantitative Analysis of Near Infrared Spectroscopy Based on Orthogonal Matching Pursuit Algorithm
		SPECTROSCOPY AND SPECTRAL ANALYSIS 2021 Vol.41 (04): 1097-1101 [Abstract] (270) [HTML 1 KB] [PDF 2202 KB] (566)

	898	KANG Li^{1, 2}, YUAN Jian-qing³, GAO Rui¹, KONG Qing-ming¹, JIA Yin-jiang¹, SU Zhong-bin^1*
		Early Detection and Identification of Rice Blast Based on Hyperspectral Image
		SPECTROSCOPY AND SPECTRAL ANALYSIS 2021 Vol.41 (03): 898-902 [Abstract] (311) [HTML 1 KB] [PDF 2087 KB] (220)

	932	WU Bin¹, ZHOU Shu-bin², WU Xiao-hong³, JIA Hong-wen¹
		Gath-Geva Allied Fuzzy C-Means Clustering Analysis of NIR Spectra of Lettuce
		SPECTROSCOPY AND SPECTRAL ANALYSIS 2021 Vol.41 (03): 932-935 [Abstract] (240) [HTML 1 KB] [PDF 2118 KB] (53)

	599	ZHAO Peng^1,2*, HAN Jin-cheng¹, WANG Cheng-kun¹
		Wood Species Classification With Microscopic Hyper-Spectral Imaging Based on I-BGLAM Texture and Spectral Fusion
		SPECTROSCOPY AND SPECTRAL ANALYSIS 2021 Vol.41 (02): 599-605 [Abstract] (264) [HTML 1 KB] [PDF 2638 KB] (74)

	94	HU Qi-feng, CAI Jian
		Research of Terahertz Time-Domain Spectral Identification Based on Deep Learning
		SPECTROSCOPY AND SPECTRAL ANALYSIS 2021 Vol.41 (01): 94-99 [Abstract] (436) [HTML 1 KB] [PDF 3211 KB] (490)

	3847	LI Qing-xu¹, WANG Qiao-hua^{1, 2*}, GU Wei¹, GAO Sheng¹, MA Mei-hu³
		Non-Destructive Testing of Fertilization Information of Pre-Incubation Duck Eggs Based on Convolutional Neural Network and Spectral Features
		SPECTROSCOPY AND SPECTRAL ANALYSIS 2020 Vol.40 (12): 3847-3853 [Abstract] (182) [HTML 1 KB] [PDF 3423 KB] (202)

	3508	LÜ Meng-qi¹, SONG Yu-jie⁴, WENG Hai-yong^{1, 3}, SUN Da-wei^{1, 3}, DONG Xiao-ya², FANG Hui^{1, 3}, CEN Hai-yan^{1, 3*}
		Effect of Near Infrared Hyperspectral Imaging Scanning Speed on Prediction of Water Content in Arabidopsis
		SPECTROSCOPY AND SPECTRAL ANALYSIS 2020 Vol.40 (11): 3508-3514 [Abstract] (231) [HTML 1 KB] [PDF 3123 KB] (109)

	2670	WANG Zi-ang, LI Gang, LIU Bing-qi, HUANG Fu-yu^*, CHEN Yi-chao
		Extrinsic Parameters Calibration of Ultra-Wide Angle Long-Wave Infrared Stereo Vision and Evaluation of Intrinsic and Extrinsic Parameters
		SPECTROSCOPY AND SPECTRAL ANALYSIS 2020 Vol.40 (09): 2670-2675 [Abstract] (229) [HTML 1 KB] [PDF 2299 KB] (68)

	2564	LI Jing^{1, 2, 3}, WU Chen-peng¹, LIU Mu-hua^{1, 2, 3}, CHEN Jin-yin³, ZHENG Jian-hong¹, ZHANG Yi-fan¹, WANG Wei¹, LAI Qu-fang¹, XUE Long^{1, 2*}
		Detection of Shape Characteristics of Kiwifruit Based on Hyperspectral Imaging Technology
		SPECTROSCOPY AND SPECTRAL ANALYSIS 2020 Vol.40 (08): 2564-2570 [Abstract] (271) [HTML 1 KB] [PDF 2130 KB] (181)

	2016	PENG Yu^{1, 2*}, TAO Zi-ye², XU Zi-yan², BAI Lan²
		Detection of Plant Species Beta-Diversity in Hunshandak Sandy Grasslands Using Hyperspectral Data
		SPECTROSCOPY AND SPECTRAL ANALYSIS 2020 Vol.40 (07): 2016-2022 [Abstract] (353) [HTML 1 KB] [PDF 1962 KB] (220)

	2054	LI Wei, YAN Fang^*, WANG Zhi-chun, LIU Cheng-hao
		Quantum Chemical Identification of Terahertz Absorption Peaks of Threonine with Different Molecular Configurations
		SPECTROSCOPY AND SPECTRAL ANALYSIS 2020 Vol.40 (07): 2054-2058 [Abstract] (273) [HTML 1 KB] [PDF 1660 KB] (135)

	1940	SHAO Yuan-yuan^{1, 2}, WANG Yong-xian¹, XUAN Guan-tao^{1, 3}, GAO Zong-mei⁴, LIU Yi¹, HAN Xiang¹, HU Zhi-chao^2
		Hyperspectral Imaging Technique for Estimating the Shelf-Life of Kiwifruits
		SPECTROSCOPY AND SPECTRAL ANALYSIS 2020 Vol.40 (06): 1940-1946 [Abstract] (284) [HTML 1 KB] [PDF 3051 KB] (82)

	1588	JI Yang-pei¹, YANG Ying^1*, LIU Gang^1，2，3
		Recognition of Pig Eating and Drinking Behavior Based on Visible Spectrum and YOLOv2
		SPECTROSCOPY AND SPECTRAL ANALYSIS 2020 Vol.40 (05): 1588-1594 [Abstract] (302) [HTML 1 KB] [PDF 3329 KB] (99)

	1120	QIU Rong-chao¹, LÜ Jun-wei¹, GONG Jian¹, LOU Shu-li², XIU Bing-nan¹, MA Xin-xing¹
		Smoothing Method for Sea Surface Rough Background Based on Multi-Spectral Forward-Looking Infrared Images Fusion
		SPECTROSCOPY AND SPECTRAL ANALYSIS 2020 Vol.40 (04): 1120-1126 [Abstract] (219) [HTML 1 KB] [PDF 3516 KB] (67)

	911	WANG Cai-xia, WANG Song-lei^*, HE Xiao-guang, DONG Huan
		The Identification of Beef Varieties by Fusing Image Information Based on Hypersepctral Image Technology
		SPECTROSCOPY AND SPECTRAL ANALYSIS 2020 Vol.40 (03): 911-916 [Abstract] (241) [HTML 1 KB] [PDF 2568 KB] (177)

	397	YAN Fang, LI Wei^*, WANG Zhi-chun
		Study of Terahertz Vibration Modes of Amino Acid Functional Groups
		SPECTROSCOPY AND SPECTRAL ANALYSIS 2020 Vol.40 (02): 397-402 [Abstract] (325) [HTML 1 KB] [PDF 2321 KB] (147)

	586	GONG Jian, LÜ Jun-wei, LIU Liang, QIU Rong-chao
		Ship Target Detection Based on Infrared Polarization Image
		SPECTROSCOPY AND SPECTRAL ANALYSIS 2020 Vol.40 (02): 586-594 [Abstract] (318) [HTML 1 KB] [PDF 5903 KB] (114)

	3776	ZHAO Peng^*, TANG Yan-hui, LI Zhen-yu
		Wood Species Recognition with Microscopic Hyper-Spectral Imaging and Composite Kernel SVM
		SPECTROSCOPY AND SPECTRAL ANALYSIS 2019 Vol.39 (12): 3776-3782 [Abstract] (240) [HTML 1 KB] [PDF 2622 KB] (76)

	3953	GUO Jun-jie^1,2,3,4, YAO Zhi-gang^1,4,5*, HAN Zhi-gang^1,4, ZHAO Zeng-liang^1,4, YAN Wei³, JIANG Jun^1,4
		On-Orbit Analysis and Correction of the Inconsistency in the Response Characteristics of TG-2/MAI CCD Pixels
		SPECTROSCOPY AND SPECTRAL ANALYSIS 2019 Vol.39 (12): 3953-3962 [Abstract] (213) [HTML 1 KB] [PDF 5088 KB] (52)

	3547	ZHU Xiao-lin^{1, 2}, LI Guang-hui^{1, 2*}, ZHANG Meng^{1, 2}
		Prediction of Soluble Solid Content of Korla Pears Based on CARS-MIV
		SPECTROSCOPY AND SPECTRAL ANALYSIS 2019 Vol.39 (11): 3547-3552 [Abstract] (210) [HTML 1 KB] [PDF 2909 KB] (57)

	3606	LI Ling-qiao^{1, 2}, PAN Xi-peng¹, FENG Yan-chun^3, YIN Li-hui³, HU Chang-qin³, YANG Hui-hua^{1, 2}
		Deep Convolution Network Application in Identification of Multi-Variety and Multi-Manufacturer Pharmaceutical
		SPECTROSCOPY AND SPECTRAL ANALYSIS 2019 Vol.39 (11): 3606-3613 [Abstract] (277) [HTML 1 KB] [PDF 4224 KB] (100)

	3251	LIANG Kun^{1, 2}, ZHANG Xia-xia^{1, 2}, DING Jing^{1, 2}, XU Jian-hong³, HAN Dong-shen^{1, 2}, SHEN Ming-xia^{1, 2*}
		Discrimination of Wheat Scab Infection Level by Fourier Mid-Infrared Technology Combined with Sparse Representation Based Classification Method
		SPECTROSCOPY AND SPECTRAL ANALYSIS 2019 Vol.39 (10): 3251-3255 [Abstract] (235) [HTML 1 KB] [PDF 2263 KB] (77)

	3273	YANG Si-cheng^{1, 2}, SHU Zai-xi², CAO Yang^1*
		Identification of Rice Varieties Based on Hyperspectral Image
		SPECTROSCOPY AND SPECTRAL ANALYSIS 2019 Vol.39 (10): 3273-3280 [Abstract] (312) [HTML 1 KB] [PDF 3994 KB] (263)

	2836	LI Jiang-tao¹, HU Wen-yan¹, ZHAO Long-lian^{1, 2*}, LI Jun-hui^{1, 2}
		Study of the Accuracy of Apple Internal Lesion Detection Based on Frequency Domain Diffuse Optical Tomography
		SPECTROSCOPY AND SPECTRAL ANALYSIS 2019 Vol.39 (09): 2836-2841 [Abstract] (219) [HTML 1 KB] [PDF 3287 KB] (68)

	2974	LI Da-hua¹, ZHAO Hui^2*, YU Xiao³
		Overlapping Green Apple Recognition Based on Improved Spectral Clustering
		SPECTROSCOPY AND SPECTRAL ANALYSIS 2019 Vol.39 (09): 2974-2981 [Abstract] (222) [HTML 1 KB] [PDF 2151 KB] (78)

	2515	LU Bing^{1, 2}, SUN Jun^1*, YANG Ning¹, WU Xiao-hong¹, ZHOU Xin¹
		Prediction of Tea Diseases Based on Fluorescence Transmission Spectrum and Texture of Hyperspectral Image
		SPECTROSCOPY AND SPECTRAL ANALYSIS 2019 Vol.39 (08): 2515-2521 [Abstract] (234) [HTML 1 KB] [PDF 3646 KB] (100)

	2608	ZHANG Ting-ting¹, ZHAO Bin¹, YANG Li-ming², WANG Jian-hua¹, SUN Qun^1*
		Determination of Conductivity in Sweet Corn Seeds with Algorithm of GA and SPA Based on Hyperspectral Imaging Technique
		SPECTROSCOPY AND SPECTRAL ANALYSIS 2019 Vol.39 (08): 2608-2613 [Abstract] (257) [HTML 1 KB] [PDF 2394 KB] (82)

	2618	YU Hui-ling¹, ZHANG Miao², HOU Hong-yi², ZHANG Yi-zhuo^2*
		The Inversion of Knots in Solid Wood Plates Based on Near-Infrared Spectroscopy
		SPECTROSCOPY AND SPECTRAL ANALYSIS 2019 Vol.39 (08): 2618-2623 [Abstract] (193) [HTML 1 KB] [PDF 3653 KB] (59)

	2171	LI Zhi-hao, SHEN Jun^*, BIAN Rui-hua, ZHENG Jian
		Accuracy Comparison of the Machine Learning Algorithm Used to Raman Real Sample Collection in the Front Line of Public Security
		SPECTROSCOPY AND SPECTRAL ANALYSIS 2019 Vol.39 (07): 2171-2175 [Abstract] (374) [HTML 1 KB] [PDF 2327 KB] (304)

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