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<title>Information technology of remotely sensed optical image analysis on the basis of multiscale conceptions integration</title>

Jakhongir B. AzimovInstitute of Mathematics (Uzbekistan)Valeriy K. BagmanovUfa State Aviation Technical Univ. (Russia)Н. К. БакировUfa State Aviation Technical Univ. (Russia)Leonid L. DoskolovichSamara State Aerospace Univ. (Russia)S. DyblenkoDresden Univ. of Technology (Germany)Shakir Kasimovich FormanovInstitute of Mathematics (Uzbekistan)Vladimir FursovSamara State Aerospace Univ. (Russia)Klaus JanschekDresden Univ. of Technology (Germany)Nikolay L. KazanskiySamara State Aerospace Univ. (Russia)Svetlana N. KhoninaSamara State Aerospace Univ. (Russia)Anton E. KisselevUfa State Aviation Technical Univ. (Russia)Olimjon Sh. SharipovInstitute of Mathematics (Uzbekistan)Anatoly N. StartsevSamara State Aerospace Univ. (Russia)Albert H. SultanovUfa State Aviation Technical Univ. (Russia)Valeriy V. TchernykhDresden Univ. of Technology (Germany)Jari Turunen
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Аннотация

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.

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