Coastline detection using optical and synthetic aperture radar images

Optical images-based edge detection in Synthetic Aperture Radar images

We address the issue of adapting optical images-based edge detection techniques for use in Polarimetric Synthetic Aperture Radar (PolSAR) imagery. We modify the gravitational edge detection technique (inspired by the Law of Universal Gravity) proposed by Lopez-Molina et al, using the non-standard neighbourhood configuration proposed by Fu et al, to reduce the speckle noise in polarimetric SAR i...

sea target detection in polarimetric synthetic aperture radar images

study on polsar target detection essentially requires the cattering information and polarimetric statistical data. theoretical analysis shows that some terms of the second order scattering matrices such as coherence and covariance matrix clearly show the differences between nonsymmetrical man-made objects and natural clatters which being reflection symmetric. using the model derived from these ...

Two Coastline Detection Methods Based on Improved Level Set Algorithm in Synthetic Aperture Radar Images

Level Set Algorithm (LSA) is one of the efficient tools of edge detection and contour extraction, which has been applied to radar, medical, and other images processing successfully. However, the procedure using LSA will cost a lot of time when applied to high-resolution images. This paper provides two novel approaches that can enhance the detection speed. In the first method, the moving step en...

The Object Detection Efficiency in Synthetic Aperture Radar Systems

The main purpose of this paper is to develop the method of characteristic functions for calculating the detection characteristics in the case of the object surrounded by rough surfaces. This method is to be implemented in synthetic aperture radar (SAR) systems using optimal resolution algorithms. By applying the specified technique, the expressions have been obtained for the false alarm and cor...

Understanding Synthetic Aperture Radar Images