Chinese Journal of Lasers, Volume. 50, Issue 2, 0211001(2023)
Spectral Classification and Characteristic Spectral Analysis of Nearshore Aquatic Plants Based on AlexNet
[1] Lü Y H, Ye K, Ni D A et al. Investigation and application of aquatic plant resources in Shanghai[J]. Journal of Technology, 19, 355-362(2019).
[2] Nie C Y, Tang J L. Plant recognition method based on fusion of salient feature and global feature[J]. Computer Engineering and Design, 42, 976-984(2021).
[3] Zhou C L, Ge L M, Guo Y B et al. A comprehensive comparison on current deep learning approaches for plant image classification[J]. Journal of Physics: Conference Series, 1873, 012002(2021).
[4] Yuan Z H, Wang W, Su B L. Leaf recognition method of invasive alien plants based on improved VGGNet model[J]. Computer and Modernization, 7-11(2021).
[5] Duan X R, Cao J F, Zhang B L et al. Spectral analysis of crop vegetation based convolutional neural network and stability selection[J]. Journal of Shandong Normal University (Natural Science), 35, 100-107(2020).
[6] Wang B, Liu X N, Wang H W et al. Spectral characteristics analysis on six shrubs in different alpine brushlands of eastern Qilian mountains[J]. Spectroscopy and Spectral Analysis, 39, 1509-1516(2019).
[7] Pan J P, Tu W L, Deng F J et al. Lithology identification of multi-spectral remote sensing in complex and difficult areas considering vegetation coverage[J]. Science of Surveying and Mapping, 46, 120-126(2021).
[8] Li N, Sun D Y, Huan Y et al. Determination and application of specific absorption spectra of phytoplankton species in Yellow Sea and Bohai Sea[J]. Acta Optica Sinica, 40, 0601004(2020).
[9] Xie H, Chen Z G, Zhang Q H. Rapid discrimination of japonica rice seeds based on near infrared spectroscopy[J]. Spectroscopy and Spectral Analysis, 39, 3267-3272(2019).
[10] Sun Q W, Wen D, Guo W K et al. Study on identification of Sabia parviflora and same genus medicinal plants by near infrared spectroscopy[J]. Modern Chinese Medicine, 22, 707-714(2020).
[11] Fan S X, Li C Y, Huang W Q et al. Data fusion of two hyperspectral imaging systems with complementary spectral sensing ranges for blueberry bruising detection[J]. Sensors, 18, 4463(2018).
[12] Li B X, Zhou B, He X et al. Status and prospects of target classification methods based on hyperspectral images[J]. Laser & Infrared, 50, 259-265(2020).
[13] Li Q, Zeng S G, Zheng S et al. Machine vision based detection method for surface crack of ceramic tile[J]. Laser & Optoelectronics Progress, 57, 081004(2020).
[14] Zhang L X, Zhang N N, Zhang X. Discriminant analysis of apple origin based on machine learning algorithm[J]. Laser & Optoelectronics Progress, 59, 0430001(2022).
[15] Wang X, Gong Z N, Jing R et al. Extraction of aquatic plants based on continuous removal method and analysis of its temporal and spatial changes: a case study of Guanting Reservoir[J]. Chinese Journal of Plant Ecology, 42, 640-652(2018).
[16] Zhang Y Y, Cai X B, Song X X et al. Remote sensing information extraction of hydrophyte in Honghu Lake based on decision tree[J]. Wetland Science, 16, 213-222(2018).
[17] Oyama Y, Matsushita B, Fukushima T. Distinguishing surface cyanobacterial blooms and aquatic macrophytes using Landsat/TM and ETM + shortwave infrared bands[J]. Remote Sensing of Environment, 157, 35-47(2015).
[18] Schmidt K S, Skidmore A K. Spectral discrimination of vegetation types in a coastal wetland[J]. Remote Sensing of Environment, 85, 92-108(2003).
[19] Luo J H, Li X C, Ma R H et al. Applying remote sensing techniques to monitoring seasonal and interannual changes of aquatic vegetation in Taihu Lake, China[J]. Ecological Indicators, 60, 503-513(2016).
[20] Wang L, Dronova I, Gong P et al. A new time series vegetation-water index of phenological-hydrological trait across species and functional types for Poyang Lake wetland ecosystem[J]. Remote Sensing of Environment, 125, 49-63(2012).
[21] Zhao Y, Rong K, Tan A L. Qualitative analysis method for Raman spectroscopy of estrogen based on one-dimensional convolutional neural network[J]. Spectroscopy and Spectral Analysis, 39, 3755-3760(2019).
[22] Yu C C, Zhou L, Wang X et al. Hyperspectral detection of unsound kernels of wheat based on convolutional neural network[J]. Food Science, 38, 283-287(2017).
[23] Wang Q, Wu K, Wang X Y et al. Recognition of dumplings with foreign body based on X-ray and convolutional neural network[J]. Food Science, 40, 314-320(2019).
[24] Zheng Z S, Hu C Y, Huang D M et al. Research on transfer learning methods for classification of typhoon cloud image[J]. Remote Sensing Technology and Application, 35, 202-210(2020).
[25] Meng Q L, Zhang Y, Shang J. Nondestructive detection on firmness of plums based on hyperspectral imaging and BP network[J]. Laser & Infrared, 49, 968-973(2019).
[26] Li J R, Wang J F, Fan L Y et al. Rapid identification and classification of cannabis oil based on collision fusion strategy of spectral and chromatographic data[J]. Laser & Optoelectronics Progress, 59, 1630004(2022).
[27] Li F M, Chen L, Jiang X H et al. The construction of index system for selecting aquatic plant in water purification and ecological restoration[J]. Ecology and Environmental Sciences, 30, 2411-2422(2021).
[28] Yu Y, Song Z L, Fan W Y et al. Scale conversion from canopy spectra to leaf spectra[J]. Geomatics and Information Science of Wuhan University, 43, 1560-1565, 1573(2018).
[29] Wang J M, Zhao W J, Guo X Y et al. Identification of the spectral characteristics of dominant aquatic plants[J]. Journal of Anhui Agricultural Sciences, 40, 9424-9426(2012).
[30] Dang Y, Zhang J X, Deng K Z et al. Study on the evaluation of land cover classification using remote sensing images based on AlexNet[J]. Journal of Geo-Information Science, 19, 1530-1537(2017).
[31] Gu S S, Ding L, Yang Y et al. A new deep learning method based on AlexNet model and SSD model for tennis ball recognition[C], 159-164(2017).
[33] Zhou F Y, Jin L P, Dong J. Review of convolutional neural network[J]. Chinese Journal of Computers, 40, 1229-1251(2017).
[34] Villa P, Mousivand A, Bresciani M. Aquatic vegetation indices assessment through radiative transfer modeling and linear mixture simulation[J]. International Journal of Applied Earth Observation and Geoinformation, 30, 113-127(2014).
[35] Zhang Y R, Gong Z N, Zhao W J. Typical plant spectral characteristics analysis in wild duck lake along water environment gradient[J]. Spectroscopy and Spectral Analysis, 32, 743-748(2012).
[36] Zeng S, Kuang R Y, Xiao Y et al. Measured hyperspectral data classification of Poyang Lake wetland vegetation[J]. Remote Sensing Information, 32, 75-81(2017).
Get Citation
Copy Citation Text
Zongsheng Zheng, Bei Liu, Peng Lu, Zhenhua Wang, Guoliang Zou, jiahui Zhao, Yunfei Li. Spectral Classification and Characteristic Spectral Analysis of Nearshore Aquatic Plants Based on AlexNet[J]. Chinese Journal of Lasers, 2023, 50(2): 0211001
Category: spectroscopy
Received: Mar. 9, 2022
Accepted: Apr. 25, 2022
Published Online: Feb. 7, 2023
The Author Email: Liu Bei (godbei@foxmail.com)