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Radar data processing

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SAR

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TerraSAR-X image of Maribor – RGB decomposition

The focus in the field of remote sensing is the processing and generation of radar images. We are developing new algorithms for obtaining phisical parameters, such as humidity, the dielectric constant of the Earth's surface, the salinity of the seas, objects detection, surface motion detection, etc., on the basis of syntetic aperture radar images. As the source, we are using existing data from radar satellites TerraSAR-X and Tandem-X. Using algorithms for information extraction from SAR images, we are researching methods for changing detection on or under the surface, terrain classification, forrest biomass detection, evaluating the speed of rivers flow, etc. Modern radar image processing are using changes detection methods  using interferometer phenomenon between two radar images. The field of interferometry is intensively developing after the launch of TerraSAR-X and Tandem-X radar satellites. These satellites are forming tandem and acquiring the ground images at the same time. Interferometer data are used to detect seismic areas such as the Sendai Japan area. Recently, the constant reflecting points in the interferometric images, are often used, wich can be used for determination of the characteristics of the objects on the ground. With the interferometry we can detect the speed of the river flow or measuring milimeter movements of moving targets.

The radar signal may also be polarized. Polarized SAR is used for the detection of different types of surfaces and determining the humidity of the soil. For this purpose the L-area operation satellites are used, as they penetrate trough the vegetation and allowing the detection of soil moisture also under vegetation.

Current activities in the field of remote sensing covers the radar image processing, which includes the processing of the final focused SAR image to eliminate spot noise and scene modeling with texture models and indexation.

We have developed the detection of soil moisture with and without vegetation method and we are dealing with change detection using interferometric data, ie the classification of information from the interferometric data and assessing the amount of vegetation from SAR data.

The radar technique is also used for the characterization of the terrain under the surface. For this purpose the georadar is used wich can detect moisture under the surface. Georadar is a portable device wich is moved along the ground and analyze the terrain under the surface. The depth of the analysis is between 5 and 30 meters, depending on the bandwidth of the antenna. There are three different types available for our research: 50MHz band antenna, wich provides 30m georadar profile, 250MHz antenna, wich provides penetration under the surface up to 8m and 1GHz antenna, wich can detect objects a few centimeters below the surface.

Using radar techniques we are developing devices and methods for the detection of moisture under the surface. We design different types of antennas and with random generating radar signals in the range between 400MHz and 2GHz exploring effects that allow us to understand the structures inside or behind the barrier. Such devices can be used for metal detection, inspecting vehicle of airplane etc.

Our goals in the field of remote sensing are development of new models for assessing the humidity from the SAR images, development of new methods for modeling of window size, development of model for analyzing complex SAR images, research of interferometric SAR images for evaluation of moving objects, ground structure analisyswith georadar systems and detection of humid zones, implementation of miniature SAR, wich could be attached to aircraft and implementation of random radar and data processing.

 

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Scene modelling with auto-binomial scene model in Cairo

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Elimination of information with the auto-binomial model 

 
Georadar

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Georadar

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