Target Acquisition Capability Research Articles

Research on target detection probability calculation method of photoelectric detection system

Due to the complexity of the environment and the uncertainty of the target characteristics, the existing photoelectric detection imaging system has a great difference in the target acquisition capability, improving the detection capability of the photoelectric detection imaging equipment focuses on the detection probability of the optical equipment. According to the detection principle of photoelectric detection imaging system, we study the target detection probability calculation model of photoelectric detection imaging system from the perspective of signal to noise ratio and detection distance, and analyze the detection probability calculation method under different signal to noise ratio. Using the gray value of the target and the gray function of the complex background detected by the optical detection imaging system, the target detection probability functions corresponding to different target gray values and different background radiance are derived. Through calculation and experimental analysis, the results show that the target detection probability calculation method can effectively evaluate the detection probability of photoelectric detection imaging system under complex background in practical application.

The Infrared Spectrograph (IRS) on the Spitzer Space Telescope

The Infrared Spectrograph (IRS) is one of three science instruments on the Spitzer Space Telescope. The IRS comprises four separate spectrograph modules covering the wavelength range from 5.3 to 38micron with spectral resolutions, R \~90 and 600, and it was optimized to take full advantage of the very low background in the space environment. The IRS is performing at or better than the pre-launch predictions. An autonomous target acquisition capability enables the IRS to locate the mid-infrared centroid of a source, providing the information so that the spacecraft can accurately offset that centroid to a selected slit. This feature is particularly useful when taking spectra of sources with poorly known coordinates. An automated data reduction pipeline has been developed at the Spitzer Science Center.

Modeling human search and target acquisition performance: IV. detection probability in the cluttered environment

To model the target acquisition capability of an electro-optic system operated by a human, one should take into account how the clutter in the scene affects the human performance. We consider one global and two local clutter metrics; we compare actual target acquisition results to those predicted by our metrics.

The tactical air-to-ground systems effectiveness model

This paper presents an overview of a computer model currently being used to determine the relative merits of prospective tactical air-to-ground systems. The model is a deterministic representation of the interactions of air-to-ground warfare. Flights of manned aircraft, RPVs and/or standoff weapons, along with their support aircraft, are engaged against a variety of tactical ground targets and ground-to-air defences. The model utilizes offline derived data from scenario descriptions, airframe/engine performance, payload capabilities, one-on-one system survivability against anti-aircraft artillery (AAA), and surface-to-air missiles (SAMs), navigation and target acquisition capabilities, weapon lethalities, aircraft sortie rates, aircraft damages and downtimes, and defense ammunition or missile supplies. These are used to evaluate overall system effectiveness. The model is fast running so that many system options can be investigated quickly.

Applying Response Surface Methodology to Problems of Target Acquisition

To specify man's target acquisition capabilities and limitations, many equipment and situational variables as well as their interactions must be considered simultaneously. Response surface methodology (RSM), originally developed for use in the chemical industry, provides an experimental technique for collecting data on many quantitative variables at once in order to develop a multiple regression polynomial equation which describes the functional relationship between a performance score and the experimental variables. This equation, in turn, can be used to predict target acquisition performance. Besides the mathematical advantages of RSM, the technique provides the human factors engineer with the additional advantages of economy in data collection, flexibility in experimental approach, and efficiency in controlling undesirable fluctuations.

From Eye to Electron¿Management Problems of the Combat Surveillance Research and Development Field

Following an introduction which establishes the fact that increased fire power of modem armies has increased the requirement of those armies for long range combat surveillance and target acquisition capabilities, this article highlights the four basic management problems involved in the combat surveillance R&D field: 1) The initial establishment of relationships with industry, other Signal Corps establishments, other branches of the Army, other Services, and with U. S. CONARC, principal user of the equipment. 2) The development of a logical program. 3) The development of the Combat Surveillance Agency itself as an organization. 4) The development of a technique for monitoring each program and for supervising the agencies, corporations, etc., involved in the various steps of the program. The solutions that management has applied in order to resolve these problems are discussed in sequence. These solutions include the liaison and information exchange function, a three-pronged program objective, the "systems manager" type of organization and its merits, and a discussion of the "line of balance" chart monitoring system.