This report presents the work performed during my Erasmus Master Thesis in the study of the bivariate Pearson system, for the purpose of providing an accurate statistical description of remote sensing images acquired by heterogeneous sensors — specifically, optical and synthetic aperture radar (SAR) images—. This work is based on [1].

This paper introduces a new and novel radar interferometry based on Doppler synthetic aperture radar (Doppler-SAR) paradigm. Conventional SAR interferometry relies on wideband transmitted waveforms to obtain high range resolution. Topography of a surface is directly related to the range difference between two antennas configured at different positions. Doppler-SAR is a novel imaging modality th...

The synthetic aperture radar principle has been discovered in the early 50. Since then, a rapid development took place all over the world and a couple of airand space-borne systems are operational today. Progress made in technology and digital signal processing lead to very flexible systems useful for military and civilian applications. Radar has proved to be valuable before, because of its day...

Since the SEASAT mission in 1978, spaceborne synthetic aperture radar (SAR) images of ocean scenes have been used successfully for a variety of applications. However, despite the fact that a SAR is a Doppler radar, conventional SAR images do not provide direct information on target velocities, since all Doppler information is normally utilised to obtain the best possible spatial resolution unde...

This paper explores automatic segmentation of synthetic aperture radar (SAR) satellite images of sea ice. The investigation is based on a comparison of an automatically segmented SAR image and manual classifications by ice service analysts. The automatic algorithm uses statistical properties of the backscattered radar signals to segment the SAR image into a given number of classes. The numberof...

of Dissertation Presented to the Graduate School of the University of Florida in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy ADVANCED TECHNIQUES FOR SYNTHETIC APERTURE RADAR IMAGE RECONSTRUCTION By Duc H. Vu May 2012 Chair: Jian Li Major: Electrical and Computer Engineering This dissertation discusses advanced aspects of Synthetic Aperture Radar (SAR). SAR is ...

A low complexity method for suppressing speckle in synthetic aperture radar (SAR) images is proposed. This method doesn’t require the logarithmic transform and is an extension of the linear minimum mean square error (LMMSE) filter to the image wavelet representation. A spatially adaptive shrinkage function is obtained and each modified coefficient is decided separately. Simulation results for t...

Microwave imaging techniques, particularly for synthetic aperture radar (SAR), produce high-resolution terrain surface images regardless of the weather conditions. Focusing on a feature of complex SAR images, coherent change detection (CCD) approaches have been developed in recent decades that can detect invisible changes in the same regions by applying phase interferometry to pairs of complex ...

Target recognition in high-resolution synthetic aperture radar (SAR) images is a challenging task, because SAR images have higher ambiguity for different target, which will reduce the correct recognition rate. This paper presents an improved SAR recognition algorithm based on fuzzy neural network (FNN), which deals with the ambiguity SAR target recognition very well. This improved FNN system im...

High resolution multi-pass, airborne Synthetic Aperture Radar (SAR) imagery is useful for surveillance and remote sensing applications. We present a technique for registering multiple high resolution SAR images, acquired from Unmanned Air Vehicles (UAVs) and other airborne platforms. A global aane transformation derived from the sensor acquisition parameters is used to automatically register th...