The features of hyperspectral remote sensing data processing under environment monitoring tasks solution
Y.N. Zhuravel, A.A. Fedoseev

PDF, 657 kB

Full text of article: Russian language.

DOI: 10.18287/0134-2452-2013-37-4-471-476

Pages: 471-476.

Abstract:
The aspects of remote sensing data processing for natural and anthropogenic objects detection and identification are examined. The research results made by hyperspectral image of Samara region are given.

Key words:
remote sensing, spectral signature, mixed pixel, atmospheric correction, independent component analysis, matched filtering.

References:

  1. Keshava, N. Survey of Spectral Unmixing Algorithms // Lincoln Laboratory Journal. - 2003. - V. 14, N 1 - P. 55-78.
  2. Kerekes, J.P. Hyperspectral Imaging System Modeling / J.P. Kerekes, J.E. Baum // Lincoln Laboratory Journal. - 2003. - V. 14, N 1 - P. 117-130.
  3. Yuanliu, X. Atmospheric correction of hyperspectral data using MODTRAN model / X. Yuanliu, W. Runsheng, L. Shengwen [et al.] // Proceedings of 16th National Symposium on Remote Sensing of China, 7-10 September 2007, Beijing, China.
  4. Kneizys, F.X. The MODTRAN 2/3 Report and LOWTRAN 7 MODEL / F.X. Kneizys, L.W. Abreu [et al.] // MODTRAN Report. – 1996. – P. 6-43.
  5. Griffin, M.K. Compensation of Hyperspectral Data for Atmospheric Effects / M. K. Griffin, H.K. Burke // Lincoln Laboratory Journal. - 2003. - V. 14, N 1 - P. 29-54.
  6. West, J.E. Matched Filter Stochastic Background Characterization for Hyperspectral Target Detection / College of Science. Rochester Institute of Technology. - 2005. – 192 p.
  7. Robila, S.A Investigation of Spectral Screening Techniques for Independent Component Analysis Based Hyperspectral Image Processing [Электронный ресурс] / URL: http://www.cs.uno.edu/~stefan/
  8. EO-1 User Guide Version 2.3 / Compiled by Dr. Richard Beck for the Satellite Systems Branch USGS Earth Resources Observation Systems Data Center (EDC)/ - July 15, 2003. [Электронный ресурс]. URL: http://www.eo1.usgs.gov, http://www/eo1.gsfc.nasa.gov.
  9. Jupp, D.L.B. Datt, B., Lovell, J., Campbell, S., King, E. and others, Science Validation Team and others, 2002. Discussions around Hyperion Data: Background Notes for the Hyperion Data Users Workshop, CSIRO, Canberra, Australia.
© 2009, IPSI RAS
Institution of Russian Academy of Sciences, Image Processing Systems Institute of RAS, Russia, 443001, Samara, Molodogvardeyskaya Street 151; e-mail: ko@smr.ru; Phones: +7 (846 2) 332-56-22, Fax: +7 (846 2) 332-56-20