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Author Kirscht, Martin
Source CiteSeerX
Content type Text
File Format PDF
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Powerful Tool ♦ Airborne Synthetic Aperture Radar ♦ Azimuth Velocity Component ♦ Different Center Frequency ♦ Single Look Sar Image ♦ Look Filter ♦ Low False Alarm Rate ♦ High Detection Probability ♦ Single-look Sar Image ♦ Displacement Vector Estimation ♦ High Resolution ♦ Velocity Estimation ♦ Real Raw Data ♦ Introduction Synthetic Aperture Radar ♦ Azimuth Direction ♦ Temporal Correlation ♦ High Accuracy
Description A method for detection of point--like moving objects and for estimation of their velocities with airborne synthetic aperture radar (SAR) is presented. This method is based on evaluation of the temporal correlation in a sequence of single--look SAR images which are processed using look filters with different center frequencies. In these images, candidates for moving objects are detected and a displacement vector estimation is performed for each candidate using a block matching algorithm as known from e. g. videotelephony. From the displacement vectors the velocities of the candidates in azimuth direction are calculated. The proposed algorithm has been applied to simulated and real raw data. The azimuth velocity component has been estimated with high accuracy, and a high detection probability with a low false alarm rate is reached. INTRODUCTION Synthetic aperture radar (SAR) is a powerful tool to produce high resolution microwave images of the ground. Since for SAR processing it is assum...
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Learning Resource Type Article
Publisher Date 1996-01-01
Publisher Institution In Proc. of the International Geoscience and Remote Sensing Symposium IGARSS '96