A fuzzy logic automatic target detection system for LADAR range images

2002 ◽  
Author(s):  
J.M. Keller ◽  
P. Gader ◽  
R. Krishnapuram ◽  
Xiaomei Wang ◽  
A. Koksal Hocaoglu ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Target Detection ◽  
Detection System ◽  
Range Images ◽  
Automatic Target Detection

Fast Automatic Target Detection System Based on a Visible Image Sensor and Ripple Algorithm

2013 ◽  
Vol 13 (7) ◽  
pp. 2720-2728 ◽  
Author(s):  
Jinhui Lan ◽  
Jian Li ◽  
Yong Xiang ◽  
Tonghuan Huang ◽  
Yixin Yin ◽  
...  
Keyword(s):  
Target Detection ◽  
Detection System ◽  
Image Sensor ◽  
Visible Image ◽  
Automatic Target Detection

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.

Computing the Probability of Target Detection in Dyanmic Visual Scenes Containing Clutter Using Fuzzy Logic Approach

1998 ◽  
Author(s):  
Thomas Meitzler ◽  
Regina Kistner ◽  
Bill Pibil ◽  
Euijung Sohn ◽  
Darryl Bryk ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Target Detection ◽  
Fuzzy Logic Approach ◽  
Logic Approach ◽  
Visual Scenes

FPGA-Based Configurable Frequency-Diverse Ultrasonic Target-Detection System

2011 ◽  
Vol 58 (3) ◽  
pp. 871-879 ◽  
Author(s):  
Joshua Weber ◽  
Erdal Oruklu ◽  
Jafar Saniie
Keyword(s):  
Target Detection ◽  
Detection System

scholarly journals Target Detection System (Tds) for Enhancing Security in Ad Hoc Network

2013 ◽  
Vol 4 (5) ◽  
pp. 15-28
Author(s):  
Hoshiyar Singh Kanyal ◽  
Rahamatkar S ◽  
Sharma B.K ◽  
Bhasker Sharma
Keyword(s):  
Target Detection ◽  
Ad Hoc Network ◽  
Ad Hoc ◽  
Detection System
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