in recent years, the needs of the internet are felt in lives of all people.  accordingly, many studies have been done on security in virtual environment. old technics such as firewalls, authentication and encryption could not provide internet security completely; so, intrusion detection system is created as a new solution and a defense wall in cyber environment. many studies were performed on d...

internet applications spreading and its high usage popularity result insignificant increasing of cyber-attacks. consequently, network security has becomea matter of importance and several methods have been developed for these attacks.for this purpose, intrusion detection systems (ids) are being used to monitor theattacks occurred on computer networks. data mining techniques, machinelearning, ne...

Radar based object detection systems have been in place for about a century serving various purposes like detection of ships aircrafts, spacecraft, navigation, reading weather formations and terrain mapping. With the advent of better packing technologies and signal conditioning circuits radars have become compact and affordable thus offering comparatively low cost solutions than other systems b...

Over the past several years, hyperspectral sensor technology has evolved to the point where real-time processing for operational applications is achievable. Algorithms supporting such sensors must be fully automated and robust. Our approach, for target detection applications, is to select signatures from a target reflectance library database and project them to the at-sensor and collection-spec...

in this paper, we deal with the problem of clutter and direct signal (c&ds;) cancelation in the target detection of tv-based passive radars. we first consider the target detection using the conventional fft method. we see that for increasing the maximum range of passive radar, we must cancel the c&ds; from the received signal. hence, we investigate some important methods for c&ds; cancelation i...

Robust small target detection of low signal-to-noise ratio (SNR) is very important in infrared search and track applications for self-defense or attacks. Due to the complex background, current algorithms have some unsolved issues with false alarm rate. In order to reduce the false alarm rate, an infrared small target detection algorithm based on saliency detection and support vector machine was...

In this paper, a novel method using a dynamic pyroelectric infrared (PIR) sensor to detect and identification the moving target is presented. The sensor equipped with an infrared lens acts as an optical setup for this system, which is driven by a uniformly rotating device, a single detector can collect into infrared signals within a range of 360 . The method solves the problems that improving t...

We developed an adaptive polarimetric target detector (APTD) to determine the optimum combination strategy for a multichannel polarization-sensitive optical system. The proposed algorithm is based on scene-derived polarization properties of the target and background, and it seeks to find an optimum multichannel combination of linear polarizing filters that maximizes the signal-to-clutter ratio ...

In this paper we present a new algorithm for real-time detection and tracking of moving targets in terrestrial scenes using a mobile camera. Our algorithm consists of two modes: detection and tracking. In the detection mode, background motion is estimated and compensated using an affine transformation. The resultant motionrectified image is used for detection of the target location using split ...

This report presents a review of a video moving target indication (VMTI) capability implemented in the Analysts’ Detection Support System (ADSS). The VMTI subsystem has been devised for video from moving sensors, in particular, but not exclusively, airborne urban surveillance video. The paradigm of the moving sensor, which is a typical scenario in defence applications (e.g., UAV surveillance vi...