Target detection and identification performance on infrared imagery collected at different altitudes.

1971 ◽  
Author(s):  
Frank A. Maher ◽  
James L. Porterfield
Keyword(s):  
Target Detection ◽  
Identification Performance ◽  
Infrared Imagery ◽  
Detection And Identification ◽  
Different Altitudes

Target Detection and Identification Performance Using an Automatic Target Detection System

2016 ◽  
Vol 59 (2) ◽  
pp. 242-258 ◽  
Author(s):  
Adam J. Reiner ◽  
Justin G. Hollands ◽  
Greg A. Jamieson
Keyword(s):  
Target Detection ◽  
Task Difficulty ◽  
Detection System ◽  
Decision Criterion ◽  
Identification Performance ◽  
Automatic Target Detection ◽  
Immersive Virtual Environment ◽  
Detection And Identification ◽  
Scene Illumination ◽  
Night Illumination

Objective: We investigated the effects of automatic target detection (ATD) on the detection and identification performance of soldiers. Background: Prior studies have shown that highlighting targets can aid their detection. We provided soldiers with ATD that was more likely to detect one target identity than another, potentially acting as an implicit identification aid. Method: Twenty-eight soldiers detected and identified simulated human targets in an immersive virtual environment with and without ATD. Task difficulty was manipulated by varying scene illumination (day, night). The ATD identification bias was also manipulated (hostile bias, no bias, and friendly bias). We used signal detection measures to treat the identification results. Results: ATD presence improved detection performance, especially under high task difficulty (night illumination). Identification sensitivity was greater for cued than uncued targets. The identification decision criterion for cued targets varied with the ATD identification bias but showed a “sluggish beta” effect. Conclusion: ATD helps soldiers detect and identify targets. The effects of biased ATD on identification should be considered with respect to the operational context. Application: Less-than-perfectly-reliable ATD is a useful detection aid for dismounted soldiers. Disclosure of known ATD identification bias to the operator may aid the identification process.

Standardized GC–MS (EI) procedure for monitoring the detection and identification performance applied to herbal remedies

2010 ◽  
Vol 15 (12) ◽  
pp. 659-664 ◽  
Author(s):  
Thomas J. Mahier ◽  
Inaam I. Al-Doush ◽  
Athraa K. Al-Sheikh ◽  
Mohammed Al-Tufail ◽  
Maciej J. Bogusz
Keyword(s):  
Herbal Remedies ◽  
Identification Performance ◽  
Detection And Identification

The Effects of Certain Gimbal Orders and Workloads on Target Acquisition

1974 ◽  
Vol 18 (2) ◽  
pp. 153-157
Author(s):  
Dennis L. Price
Keyword(s):  
Target Detection ◽  
Identification Performance ◽  
Target Task ◽  
Terrain Model ◽  
Spare Time ◽  
Word Task ◽  
Heavy Workload ◽  
Improved Performance ◽  
Imaging Sensors ◽  
Operator Workload

If air-to-ground imaging sensors are mounted to aircraft by different gimbal order systems, the scenery at the displays will rotate differently, even though the flight paths are identical. Eighteen experienced pilots were tested to investigate the effects such scene motions might have on target detection, recognition, and identification performance, and also on operator workload. The Martin Marietta 600:1 scale terrain model was used to provide the imagery of three gimbal orders: roll-pitch, yaw-pitch, and pitch-yaw. Target runs simulated started at 20k ft. slant range, and maintained a 4k ft. altitude, and 2500 or 5000 feet offset. They were 30-second runs at a speed of 350 knots. The pitch-yaw gimbal order was associated with the greatest range-to-target scores and the lightest workloads. Also, the workload measured for each gimbal order and the workload measured for a word task from the Montana Meaningfulness Scale were added together for each subject. The sum was the estimated workload for that subject for the combined tasks, which were presented on two monitors. The six subjects with the heaviest workload estimates and the six with the lightest were compared on range-to-target scores. The heavy workload group demonstrated a trend effect for improved performance compared to the light workload group, p < .01. However, significant degraded performance occurred when the results of all subjects for this words and target task were compared with similar trials in which the second display was monitored during the observer's spare time only.

scholarly journals A Probabilistic Target Search Algorithm Based on Hierarchical Collaboration for Improving Rapidity of Drones

Sensors ◽  
2018 ◽  
Vol 18 (8) ◽  
pp. 2535 ◽  
Author(s):  
Il-Kyu Ha ◽  
You-Ze Cho
Keyword(s):  
High Altitude ◽  
Target Detection ◽  
Information Transfer ◽  
Search Algorithm ◽  
Search Time ◽  
Previous Method ◽  
Target Search ◽  
Low Altitude ◽  
Military Facilities ◽  
Different Altitudes

Finding a target quickly is one of the most important tasks in drone operations. In particular, rapid target detection is a critical issue for tasks such as finding rescue victims during the golden period, environmental monitoring, locating military facilities, and monitoring natural disasters. Therefore, in this study, an improved hierarchical probabilistic target search algorithm based on the collaboration of drones at different altitudes is proposed. This is a method for reducing the search time and search distance by improving the information transfer methods between high-altitude and low-altitude drones. Specifically, to improve the speed of target detection, a high-altitude drone first performs a search of a wide area. Then, when the probability of existence of the target is higher than a certain threshold, the search information is transmitted to a low-altitude drone which then performs a more detailed search in the identified area. This method takes full advantage of fast searching capabilities at high altitudes. In other words, it reduces the total time and travel distance required for searching by quickly searching a wide search area. Several drone collaboration scenarios that can be performed by two drones at different altitudes are described and compared to the proposed algorithm. Through simulations, the performances of the proposed algorithm and the cooperation scenarios are analyzed. It is demonstrated that methods utilizing hierarchical searches with drones are comparatively excellent and that the proposed algorithm is approximately 13% more effective than a previous method and much better compared to other scenarios.

The Effects of Values and Costs on the Detection and Identification of Signals in Auditory Vigilance

1966 ◽  
Vol 8 (6) ◽  
pp. 525-537 ◽  
Author(s):  
Jerrold M. Levine
Keyword(s):  
Vigilance Task ◽  
Performance Decrement ◽  
Identification Performance ◽  
Detection And Identification ◽  
Significant Performance ◽  
Detection Response ◽  
The Subject ◽  
Pure Tones ◽  
The Cost ◽  
Cost Factors

The effects on performance of the value of detecting a signal, the cost of a miss or false detection, and the size of the set from which the signals were drawn were studied in an auditory vigilance task. Seventy-two subjects were randomly assigned to each cell of a factorial arrangement of the cost and load variables and required to detect and identify each of several 49 db SPL pure tones differing only in frequency. Analyses of the number of correct detections, correct identifications, false detections and detection response time indicated a significant performance decrement with time for all measures and suggested that increasing costs for misses and false detections led to poorer detection performance while value had no effect. Load effected only identification performance, as higher loads led to a decrease in the percentage of signals correctly identified. The ď and β statistics of signal detection theory, indicated sensitivity to be invariant with manipulations of costs and with time. These findings imply that the performance decrement during a vigil is due to an increased strictness in the criterion the subject sets for deciding whether or not a signal was present. The cost factors were effective in manipulating performance by causing changes in the subjects' decision criteria.

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