量子电子学报, 2019, 36 (2): 151, 网络出版: 2019-04-03   

基于光谱分析的罂粟识别研究

Research of identification of papaver based on spectral analysis
作者单位
1 中国科学院安徽光学精密机械研究所中国科学院大气光学重点实验室, 安徽 合肥 230031
2 中国科学技术大学, 安徽 合肥 230026
引用该论文

王浩, 秦来安, 靖旭, 何枫, 谭逢富, 侯再红. 基于光谱分析的罂粟识别研究[J]. 量子电子学报, 2019, 36(2): 151.

WANG Hao, QIN Lai-an, JING Xu, HE Feng, TAN Feng-fu, HOU Zai-hong. Research of identification of papaver based on spectral analysis[J]. Chinese Journal of Quantum Electronics, 2019, 36(2): 151.

参考文献

[1] Wang Jianwei. Looking at the long-term nature of anti-drug work in China from the drug situation [J]. Journal of Yunnan Police Officer Academy (云南警官学院学报), 2014(3):13-18 (in Chinese).

[2] López-Granados F, Torres-Sánchez J, Serrano-Pérez A, et al. Early season weed mapping in sunflower using UAV technology: variability of herbicide treatment maps against weed thresholds [J]. Precision Agriculture, 2016,17(2): 183-199.

[3] Alsalam B H Y, Morton K, Campbell D, et al. Autonomous UAV with vision based on-board decision making for remote sensing and precision agriculture [C]. Aerospace Conference. IEEE, 2017: 1-12.

[4] Jia Y, Su Z, Shen W, et al. UAV remote sensing image Mosaic and its application in agriculture [J]. International Journal of Smart Home, 2016, 10(5):159-170.

[5] Aries R C, Utomo S. The low-cost UAV-based remote sensing system capabilities for large scale cadaster mapping [C]. IOP Conference Series: Earth and Environmental Science, 2016:012005.

[6] Bhardwaj A, Sam L, Akanksha, et al. UAVs as remote sensing platform in glaciology: Present applications and future prospects [J]. Remote Sensing of Environment, 2016, 175:196-204.

[7] Yuan Tianjun, Wang Jiajun, et al. The review of application and standards of near infrared spectrometry [J]. Chinese Agricultural Science Bulletin (中国农学通报), 2013, 29(20): 190-19(in Chinese).

[8] Chai Ying, Ruan Renzhong, Chai Guowu, et al. Speciesidentification of wetland vegetationbased on spectral characteristics [J]. Remote Sensing for Land & Resources (国土资源遥感), 2016, 28(3):86-90 (in Chinese).

[9] Chen Shuren, Li Yixin, Mao Hanping, et al. Research on distinguishing weed from crop using spectrum analysis technology [J]. Spectroscopy and Spectral Analysis (光谱学与光谱分析), 2009, 29(2): 463-4(in Chinese).

[10] Vrindts E, Jde B, Ramon H. Weed detection using canopy reflection [J].Precision Agriculture, 2002, 3(1):63-80.

[11] Wang Haiqing, Ji Changying, Chen Kunjie. Research on identification of cucumber, stem and leaf based on spectrum analysis technology [J]. Spectroscopy and Spectral Analysis (光谱学与光谱分析), 2011, 31(10): 2834-2838 (in Chinese).

[12] Lu Yongshuai, Li Yuanxiang,Peng Xishuai. Poppy detection in airborne multispectral data based on deep belief network [J]. Remote Sensing Information (遥感信息), 2017, 32(4): 98-103 (in Chinese).

[13] Alrawashdeh M J, Radwan T. Wilk’s lambda based on robust method [C]. Ism International Statistical Conference. AIP Publishing LLC, 2017:51-67.

[14] Zhou Hongyu, Zheng Hongping. The effect and method of quantitative analysis of “Red-Edge”of vegetation [J]. Remote Sensing Information (遥感信息), 2010, 2010(4): 112-11(in Chinese).

王浩, 秦来安, 靖旭, 何枫, 谭逢富, 侯再红. 基于光谱分析的罂粟识别研究[J]. 量子电子学报, 2019, 36(2): 151. WANG Hao, QIN Lai-an, JING Xu, HE Feng, TAN Feng-fu, HOU Zai-hong. Research of identification of papaver based on spectral analysis[J]. Chinese Journal of Quantum Electronics, 2019, 36(2): 151.

本文已被 1 篇论文引用
被引统计数据来源于中国光学期刊网
引用该论文: TXT   |   EndNote

相关论文

加载中...

关于本站 Cookie 的使用提示

中国光学期刊网使用基于 cookie 的技术来更好地为您提供各项服务,点击此处了解我们的隐私策略。 如您需继续使用本网站,请您授权我们使用本地 cookie 来保存部分信息。
全站搜索
您最值得信赖的光电行业旗舰网络服务平台!