Evaluation of Vehicle Camouflage Effectiveness Under a Complex Background Based on the Time-Limited Search Model | IEEE Journals & Magazine | IEEE Xplore

Evaluation of Vehicle Camouflage Effectiveness Under a Complex Background Based on the Time-Limited Search Model


Abstract:

To comprehensively evaluate the camouflage effect of a camouflaged vehicle in a complex background based on the detection and identification processes of the time-limited...Show More
Topic: Deep learning for Geospatial Object Detection in Complex Scenes: Dataset, Algorithms and Applications

Abstract:

To comprehensively evaluate the camouflage effect of a camouflaged vehicle in a complex background based on the detection and identification processes of the time-limited search model, the visual saliency degree and feature similarity degree were used to represent the camouflage effect, and a camouflage effect evaluation method was proposed. For the visual saliency degree algorithm, in which the concepts of local saliency degree and target saliency degree were introduced, the visual saliency features of the camouflaged vehicle and background image were manually extracted, multiscale saliency matrices were constructed, and the comprehensive saliency function was used to calculate the visual saliency degree. Based on the bag of visual words model, the feature similarity degree algorithm extracted the local features from public images of the camouflaged vehicles, clustered these features to form a visual word bag, and calculated the feature similarity degree by comparing the local features of the camouflaged vehicle with the visual word bag. Through experimental verification and analysis of the results, the method considering complex landform background characteristics, battlefield target reconnaissance processes, and different camouflage statuses of the vehicle could objectively obtain the camouflage effect value of vehicles, quantitatively determine the advantageous application environment of different camouflaged states, and provide data support for camouflaged state design and concealed area selection.
Topic: Deep learning for Geospatial Object Detection in Complex Scenes: Dataset, Algorithms and Applications
Page(s): 6133 - 6143
Date of Publication: 19 July 2022

ISSN Information:

Funding Agency:

Author image of Dong Wang
School of Optical Engineering, Xi'an Research Institute of High Technology, Xi'an, China
Dong Wang received the M.S. degree in aerospace engineering from the Xi'an Research Institute of High Technology, Xi'an, China, in 2011, where he is currently working toward the Ph.D. degree in armament science and technology with the School of Key Laboratory of Armament Science and Technology.
His research interests include vehicle camouflage performances and survival effectiveness evaluation.
Dong Wang received the M.S. degree in aerospace engineering from the Xi'an Research Institute of High Technology, Xi'an, China, in 2011, where he is currently working toward the Ph.D. degree in armament science and technology with the School of Key Laboratory of Armament Science and Technology.
His research interests include vehicle camouflage performances and survival effectiveness evaluation.View more
Author image of Qinhe Gao
School of Optical Engineering, Xi'an Research Institute of High Technology, Xi'an, China
Qinhe Gao received the Ph.D. degree in electromechanical integration from the Xi'an JiaoTong University, Xi'an, China, in 2003.
He is currently a Professor with the Vehicle Evaluation Group, Xi'an Research Institute of High Technology, Xi'an, China. His main research interests include electromechanical system virtual design and simulation, complex system virtual maintenance analysis, and evaluation of vehicle viability.
Qinhe Gao received the Ph.D. degree in electromechanical integration from the Xi'an JiaoTong University, Xi'an, China, in 2003.
He is currently a Professor with the Vehicle Evaluation Group, Xi'an Research Institute of High Technology, Xi'an, China. His main research interests include electromechanical system virtual design and simulation, complex system virtual maintenance analysis, and evaluation of vehicle viability.View more
Author image of Zhihao Liu
School of Optical Engineering, Xi'an Research Institute of High Technology, Xi'an, China
Zhihao Liu received the Ph.D. degree in mechanic engineering from the Xi'an Research Institute of High Technology, Xi'an, China, in 2018. His main research focuses on simulation of the non-linear dynamics of the high speed ride comfort.
Zhihao Liu received the Ph.D. degree in mechanic engineering from the Xi'an Research Institute of High Technology, Xi'an, China, in 2018. His main research focuses on simulation of the non-linear dynamics of the high speed ride comfort.View more
Author image of Yao Ding
School of Optical Engineering, Xi'an Research Institute of High Technology, Xi'an, China
Yao Ding received the M.S. degree in information and computing science from the Key Laboratory of Optical Engineering, Xi'an Research Institute of High Technology, Xi'an, China, in 2013, where he is currently working toward the Ph.D. degree in computer science with the School of Key Laboratory of Optical Engineering
His research interests include neural network, computer vision, image processing, and hyperspectral image cl...Show More
Yao Ding received the M.S. degree in information and computing science from the Key Laboratory of Optical Engineering, Xi'an Research Institute of High Technology, Xi'an, China, in 2013, where he is currently working toward the Ph.D. degree in computer science with the School of Key Laboratory of Optical Engineering
His research interests include neural network, computer vision, image processing, and hyperspectral image cl...View more
Author image of Tong Huang
School of Optical Engineering, Xi'an Research Institute of High Technology, Xi'an, China
Tong Huang received the M.S. degree in armament science and technology from the North University of China, Tai Yuan, China, in 2019, where he is currently working toward the Ph.D. degree in armament science and technology with the Xi.an Research Institute of High Technology, Xi'an, China.
His research interests include the antidamage capability evaluation and evaluation of vehicle viability.
Tong Huang received the M.S. degree in armament science and technology from the North University of China, Tai Yuan, China, in 2019, where he is currently working toward the Ph.D. degree in armament science and technology with the Xi.an Research Institute of High Technology, Xi'an, China.
His research interests include the antidamage capability evaluation and evaluation of vehicle viability.View more
Author image of Lei Gao
School of Optical Engineering, Xi'an Research Institute of High Technology, Xi'an, China
Lei Gao received the M.S. degree in vehicle engineering from the Xi'an Research Institute of High Technology, Xi'an, China, in 2020, where she is currently working toward the Ph.D. degree in armament science and technology with the School of Key Laboratory of Armament Science and Technology.
Her research interest include the evaluation of vehicle dynamic performance.
Lei Gao received the M.S. degree in vehicle engineering from the Xi'an Research Institute of High Technology, Xi'an, China, in 2020, where she is currently working toward the Ph.D. degree in armament science and technology with the School of Key Laboratory of Armament Science and Technology.
Her research interest include the evaluation of vehicle dynamic performance.View more

Author image of Dong Wang
School of Optical Engineering, Xi'an Research Institute of High Technology, Xi'an, China
Dong Wang received the M.S. degree in aerospace engineering from the Xi'an Research Institute of High Technology, Xi'an, China, in 2011, where he is currently working toward the Ph.D. degree in armament science and technology with the School of Key Laboratory of Armament Science and Technology.
His research interests include vehicle camouflage performances and survival effectiveness evaluation.
Dong Wang received the M.S. degree in aerospace engineering from the Xi'an Research Institute of High Technology, Xi'an, China, in 2011, where he is currently working toward the Ph.D. degree in armament science and technology with the School of Key Laboratory of Armament Science and Technology.
His research interests include vehicle camouflage performances and survival effectiveness evaluation.View more
Author image of Qinhe Gao
School of Optical Engineering, Xi'an Research Institute of High Technology, Xi'an, China
Qinhe Gao received the Ph.D. degree in electromechanical integration from the Xi'an JiaoTong University, Xi'an, China, in 2003.
He is currently a Professor with the Vehicle Evaluation Group, Xi'an Research Institute of High Technology, Xi'an, China. His main research interests include electromechanical system virtual design and simulation, complex system virtual maintenance analysis, and evaluation of vehicle viability.
Qinhe Gao received the Ph.D. degree in electromechanical integration from the Xi'an JiaoTong University, Xi'an, China, in 2003.
He is currently a Professor with the Vehicle Evaluation Group, Xi'an Research Institute of High Technology, Xi'an, China. His main research interests include electromechanical system virtual design and simulation, complex system virtual maintenance analysis, and evaluation of vehicle viability.View more
Author image of Zhihao Liu
School of Optical Engineering, Xi'an Research Institute of High Technology, Xi'an, China
Zhihao Liu received the Ph.D. degree in mechanic engineering from the Xi'an Research Institute of High Technology, Xi'an, China, in 2018. His main research focuses on simulation of the non-linear dynamics of the high speed ride comfort.
Zhihao Liu received the Ph.D. degree in mechanic engineering from the Xi'an Research Institute of High Technology, Xi'an, China, in 2018. His main research focuses on simulation of the non-linear dynamics of the high speed ride comfort.View more
Author image of Yao Ding
School of Optical Engineering, Xi'an Research Institute of High Technology, Xi'an, China
Yao Ding received the M.S. degree in information and computing science from the Key Laboratory of Optical Engineering, Xi'an Research Institute of High Technology, Xi'an, China, in 2013, where he is currently working toward the Ph.D. degree in computer science with the School of Key Laboratory of Optical Engineering
His research interests include neural network, computer vision, image processing, and hyperspectral image clustering.
Yao Ding received the M.S. degree in information and computing science from the Key Laboratory of Optical Engineering, Xi'an Research Institute of High Technology, Xi'an, China, in 2013, where he is currently working toward the Ph.D. degree in computer science with the School of Key Laboratory of Optical Engineering
His research interests include neural network, computer vision, image processing, and hyperspectral image clustering.View more
Author image of Tong Huang
School of Optical Engineering, Xi'an Research Institute of High Technology, Xi'an, China
Tong Huang received the M.S. degree in armament science and technology from the North University of China, Tai Yuan, China, in 2019, where he is currently working toward the Ph.D. degree in armament science and technology with the Xi.an Research Institute of High Technology, Xi'an, China.
His research interests include the antidamage capability evaluation and evaluation of vehicle viability.
Tong Huang received the M.S. degree in armament science and technology from the North University of China, Tai Yuan, China, in 2019, where he is currently working toward the Ph.D. degree in armament science and technology with the Xi.an Research Institute of High Technology, Xi'an, China.
His research interests include the antidamage capability evaluation and evaluation of vehicle viability.View more
Author image of Lei Gao
School of Optical Engineering, Xi'an Research Institute of High Technology, Xi'an, China
Lei Gao received the M.S. degree in vehicle engineering from the Xi'an Research Institute of High Technology, Xi'an, China, in 2020, where she is currently working toward the Ph.D. degree in armament science and technology with the School of Key Laboratory of Armament Science and Technology.
Her research interest include the evaluation of vehicle dynamic performance.
Lei Gao received the M.S. degree in vehicle engineering from the Xi'an Research Institute of High Technology, Xi'an, China, in 2020, where she is currently working toward the Ph.D. degree in armament science and technology with the School of Key Laboratory of Armament Science and Technology.
Her research interest include the evaluation of vehicle dynamic performance.View more

References

References is not available for this document.