Method of automatic recognition of helicopters flying at low altitudes
نویسندگان
چکیده
The use of thermal radiation for target recognition is a very effective method, since every object emits certain amounts of thermal energy that can’t be fully masked. In recent years a rapid development of IR target recognition devices can be observed. These devices are capable of detection and identification of low-flying objects at close distances. Such Infrared Search and Track Systems (IRSTs) successfully replace radar-based devices in air surveillance and weapon control applications.
منابع مشابه
The Application of Numerical Analysis Techniques to Pattern Recognition of Helicopters by Area Method
In this paper, a new method to selecting different viewing angles feature vector is introduced to recognition different types of Helicopters. Feature vector 32 components based on characteristics of the shape, Area and a length to describe a binary two-dimensional image was created, shape feature and length feature not only effective but area features effective and were used. New features vecto...
متن کاملAutomatic Landing of Small Helicopters on 4 DOF Moving Platforms
In this research, an automatic control system is designed for landing of a small helicopter on a 4 DOF moving platform. The platform has three translational and one directional degree of freedom. The controller design approach is based on development of helicopter nonlinear dynamic model into the SDC (State Dependent Coefficient) form and real time solving of state dependent Riccati equation (S...
متن کاملThe analysis of efficacy for AutoPulse™ system in flying helicopter.
AIM OF THE STUDY The helicopter emergency medical service (HEMS) was introduced in Japan in 2001, and some cardiopulmonary arrest (CPA) patients are transported using this service. However, it is difficult to maintain continuous and effective manual cardiopulmonary resuscitation (CPR) in flying helicopters. To overcome this problem, the AutoPulse™ system, automated mechanical CPR devices, was i...
متن کاملDimensionality Reduction and Improving the Performance of Automatic Modulation Classification using Genetic Programming (RESEARCH NOTE)
This paper shows how we can make advantage of using genetic programming in selection of suitable features for automatic modulation recognition. Automatic modulation recognition is one of the essential components of modern receivers. In this regard, selection of suitable features may significantly affect the performance of the process. Simulations were conducted with 5db and 10db SNRs. Test and ...
متن کاملUncertainties due to Fuel Heating Value and Burner Efficiency on Performance Functions of Turbofan Engines Using Monte Carlo Simulation
In this paper, the impacts of the uncertainty of fuel heating value as well as the burner efficiency on performance functions of a turbofan engine are studied. The mean value and variance curves for thrust, thrust specific fuel consumption as well as propulsive, thermal and overall efficiencies are drawn and analyzed, considering the aforementioned uncertainties based on various Mach numbers at...
متن کامل