Information technology of remotely sensed optical image analysis on the basis of multiscale conceptions integration

Research output: Contribution to book/Conference proceedings/Anthology/ReportConference contributionContributedpeer-review

Contributors

  • Jakhongir B. Azimov - , Academy of Sciences of the Republic of Uzbekistan (Author)
  • Valeriy H. Bagmanov - , Ufa State Aviation Technical University (Author)
  • Nail K. Bakirov - , Ufa State Aviation Technical University (Author)
  • Leonid L. Doskolovich - , Samara National Research University (Author)
  • Serguei V. Dyblenko - , Chair of Automation Engineering, TUD Dresden University of Technology (Author)
  • Shakir K. Formanov - , Academy of Sciences of the Republic of Uzbekistan (Author)
  • Vladimir A. Fursov - , Samara National Research University (Author)
  • Klaus Janschek - , Chair of Automation Engineering, TUD Dresden University of Technology (Author)
  • Nikolay L. Kazanskiy - , Samara National Research University (Author)
  • Svetlana N. Khonina - , Samara National Research University (Author)
  • Anton E. Kisselev - , Ufa State Aviation Technical University (Author)
  • Olimjon S. Sharipov - , Academy of Sciences of the Republic of Uzbekistan (Author)
  • Anatoly N. Startsev - , Samara National Research University (Author)
  • Albert H. Sultanov - , Ufa State Aviation Technical University (Author)
  • Jari Turunen - , University of Eastern Finland (Author)
  • Valerij Chernykh - , Chair of Automation Engineering (Author)

Abstract

The information technology of remotely sensed image analysis is based on system integration of two main concepts: diffractive optical elements (DOEs) aided multispectral preprocessing and multiscale analysis. Proposed technology allows to: decrease the threshold of hidden signal detection; detect the signals with unknown form; improve the performance of subpixel signal detection and estimation in case of limited resolution of sensors. Data preprocessing method for anomaly detection on the base of DOE technology is developed. DOE-based technology is implemented and tested. Nonparametric statistic methods for signal detection and estimation are proposed. Multiresolution image analysis methods are applied for anomaly detection and estimation.

Details

Original languageEnglish
Title of host publicationOptical Technologies for Telecommunications 2006
Publication statusPublished - 2007
Peer-reviewedYes

Publication series

SeriesProceedings of SPIE - The International Society for Optical Engineering
Volume6605
ISSN0277-786X

Conference

TitleOptical Technologies for Telecommunications 2006
Duration20 - 23 November 2006
CitySamara
CountryRussian Federation

Keywords

Keywords

  • Diffractive optical element, Fractal, Signal and image processing, Stochastic process, Wavelet