Cel Research Objectives:The global objective of project is to create the conceptual, methodological and theoretic foundation for information technology of remotely sensed data processing and analysis based on the on the system integration of multiscale conceptions: continuous wavelet analysis,discrete wavelet transform (WT),fractal sets andrecursive scannings.Proposed information technology allows to:1. decrease the threshold of hidden signal detection by several times;2. detect the signals with unknown form;3. solve the problems connected to incomplete knowledge of signal, non-stationary, non-markovian and singular noises;4. improve the performance of sub pixel signal detection and estimation in case of limited spatial and temporal resolutions of sensors.The main application area of the developed techniques is processing and analysis of remotely sensed data. The developed techniques can be also effectively used for processing of astrophysical, biometric, biomedical images and geophysical data. Key activities of this research project are the development of the appropriate methods and algorithms in the frame of a new information technology for processing and analysis of remotely sensed data. This includes research activities in the following areas: segmentation and filtering of images obtained under conditions of prior uncertainty and noise irregularity, particularly in the frame of wavelet and fractal analysis; signal detection and estimation based of diffractive optical elements (DOE) and spectral analysis.The following research results are expected:numerical evaluation of fractal characteristics for certain classes of satellite images;determination of the correlation properties and fractal characteristics on recursive scannings;mathematical models of noise with specified fractal characteristics (for signal detection and recognition);algorithms for anomaly detection based on wavelet transform;algorithms for anomaly detection and its boundary estimation using nonparametric statistic methods;algorithms of image segmentation by Change Point of Fourier spectrum using spline approximation of boundaries;methods and algorithms for designing diffractive optical elements and algorithms for digital processing of the derived design information; simulation of operation of DOE-aided systems and ecological assessment of multi-spectral images;parameterization of fabricated diffractive optical elements for analysis of remotely sensed data; results of experimental testing of the DOEs. Program(-y) IC-INTAS - International Association for the promotion of cooperation with scientists from the independent states of the former Soviet Union (INTAS), 1993- Temat(-y) IT 2004 - Thematic Call - Information Technology Zaproszenie do składania wniosków Data not available System finansowania Data not available Koordynator University Technische Universitat Dresden Wkład UE Brak danych Adres Mommsenstrasse 01062 Dresden Niemcy Zobacz na mapie Koszt całkowity Brak danych Uczestnicy (4) Sortuj alfabetycznie Sortuj według wkładu UE Rozwiń wszystko Zwiń wszystko Samara State Aerospace University Rosja Wkład UE Brak danych Adres Moskovskoe Shosse 34 443086 Samara Zobacz na mapie Koszt całkowity Brak danych UNIVERSITY OF JOENSUU Finlandia Wkład UE Brak danych Adres YLIOPISTOKATU, 7 JOENSUU Zobacz na mapie Koszt całkowity Brak danych Ufa State Aviation Techical University Rosja Wkład UE Brak danych Adres Karl Marx 12 450000 Ufa Zobacz na mapie Koszt całkowity Brak danych Uzbek Academy of Sciences, Institute of Mathematics Uzbekistan Wkład UE Brak danych Adres F. Khodjaev 29 700125 Tashkent Zobacz na mapie Koszt całkowity Brak danych