The discrimination of the clutter interfering signal is a current problem in modern radars'
design, especially in coastal or offshore environments where the histogram of the …

Ship detection for SAR imagery plays a crucial rule in the field of remote-sensing image
processing. Superpixel methods have attracted enormous interest in the recent years …

As one of the state-of-the-art technologies currently being studied in the field of target
positioning, the entangled light quantum-based passive target positioning method uses …

With oceanic reverberation and a large amount of data being the main sources of
interference for underwater acoustic target detection, it is difficult to obtain a more robust …

The main problem faced by sea radars is the elimination of an undesirable signal that
appears mixed with target information: sea clutter. The clutter results from the echo caused …

This paper presents the switching CA/OS CFAR using neural network for improving the
radar target detection in non-homogeneous environment. This method uses one of between …

Constant false alarm rate (CFAR), a target detection method commonly used in the radar
systems, has an inconsistent performance against various environments. For improving the …

An algorithm for 2D-OS-CFAR thresholding in clutter environments is proposed. A sliding
window is designed and moved in the considered clutter area. The threshold values for …

Studies performed on sea clutter readings often include fitting the data searching for the
preferential amplitude distribution. In this process, the estimation through the method of …

This paper presents an efficient signal detector called mix neural network (MIXNN) signal
detector which is based on Neural Network. MIXNN signal detector is a combined detection …