Abstract
This paper provides the characteristics of an experimental sample of a hyperspectral videospectrometer Sokol-SCP and presents examples of the hyperspectral data received as a result of flight tests. The results of the detection of vegetation containing narcotic substances by spectral attributes using the obtained hyperspectral information are considered. The opportunity for using the hyperspectral data for detection of cannabis and papaver sites, including those in mixed crops with masking vegetation, is confirmed.
Similar content being viewed by others
References
Afanas’ev, I., “Truly from the space” or “Resurs-P” on the orbit, Novosti Kosmonavtiki, 2013, no. 8, pp. 38–42.
Balter, B.M., Egorov, V.V., Il’in, A.A., Kalinin, A.P., Orlov, A.G., Ostannii, A.N., Rodionova, I.P., and Rodionov, I.D., Assessment of the Capabilities of Hyperspectral Surveying for Remote Detection of Given Vegetation Types, Moscow: IKI RAN, 2007.
Davis, S.M., Landgrebe, D.A., Phillips, T.L., Swain, P.H., Hoffer, R.M., Lindenlaub, J.C., and Silva, L.F., Remote Sensing: The Quantitative Approach, New York: McGraw-Hill, 1978.
Ishmuratova, A.D., Karpukhina, O.A., Brazhnikov, V.N., Serkov, V.A., Zelenina, O.N., and Semenova, E.F., Creation of vegetation pattern for the investigation of spectral reflectance characteristics of drug-containing and masking plants, Proc. of the Int. Conf. “Selection Against Drugs,” Penza, 2007, pp. 229–240.
Karpukhina, O.A., Balter, B.M., and Rodionov, I.D., Studying the possibilities for detecting the areas of drug-containing plants by spectral data, Proc. of the Int. Conf. “Selection Against Drugs,” Penza, 2007, pp. 215–228.
Karpukhina, O.A., First results of detection of crops of drug-containing plants by methods of automated processing of hyperspectral survey data, Proc. of the Scientific and Practical Conference Devoted to the 100th Anniversary of the Penza Agricultural Research Institute, June 30–July 3, 2009, Penza, 2009, pp. 11–19.
Lukashevich, E.L., Gorelov, V.A., Charykova, E.I., and Karpukhina, O.A., Increasing the efficiency of the use of the onboard aviation system to detect unauthorized crops of drug-containing plants, Proc. of the Int. Conf. “Selection Against Drugs”, Penza, 2007, pp. 199–205.
Nikishin, Yu.A. and Karpukhina, O.A., Geometric correction of unstabilized hyperspectral images, Proc. of the Scientific and Practical Conference Devoted to the 100th Anniversary of the Penza Agricultural Research Institute, June 30–July 3, 2009, Penza, 2009, pp. 45–53.
Rachkulik, V.I. and Sitnikova, M.V., Otrazhatel’nye svoistva i sostoyanie rastitel’nogo pokrova (Reflective Properties and State of the Vegetation Cover), Leningrad: Gidrometeoizdat, 1981.
Sedel’nikov, V.P., Lukashevich, E.L., and Karpukhina, O.A., Onboard video spectrometer “Sokol-GTsP”: The results of processing of hyperspectral data obtained during flight tests and experimental aerial surveying, Kontenant, 2013, vol. 12, no. 3, pp. 37–50.
Tolchel’nikov, Yu.S., Opticheskie svoistva landshaftov (Optical Properties of Landscapes), Moscow: Nauka, 1974.
Zhurkin, I.G. and Nikishin, Yu.A., The technique and technology of geometric correction of unstabilized images of the onboard hyperspectrometer, Izv. Vyssh. Uchebn. Zaved., Geod. Aeros., 2010, no. 5, pp. 86–92.
Zhurkin, I.G. and Nikishin, Yu.A., Calculation of parameters of the formation of images obtained under conditions of unstabilized hyperspectral aerial surveying, Izv. Vyssh. Uchebn. Zaved., Geod. Aeros., 2011, no. 4, pp. 47–52.
Zhurkin, I.G., Karpukhin, S.S., Karpukhina, O.A., and Nikishin, Yu.A., Strategies of hyperspectral image processing in problems of the monitoring of crop growing, Geodez. Kartograf., 2011, no. 1, pp. 37–42.
Author information
Authors and Affiliations
Corresponding author
Additional information
Original Russian Text © V.P. Sedelnikov, E.L. Lukashevich, O.A. Karpukhina, 2014, published in Issledovanie Zemli iz Kosmosa, 2014, No. 1, pp. 49–65.
Rights and permissions
About this article
Cite this article
Sedelnikov, V.P., Lukashevich, E.L. & Karpukhina, O.A. Experience in the use of hyperspectral data for the detection of vegetation containing narcotic substances. Izv. Atmos. Ocean. Phys. 50, 953–967 (2014). https://doi.org/10.1134/S0001433814090187
Received:
Published:
Issue Date:
DOI: https://doi.org/10.1134/S0001433814090187