A Preprocessing Method for Infrared Image Based on Maritime Target Tracking Performance

Jinwang, 李金旺 Li; Yansong, 宋延嵩 Song; Tianci, 刘天赐 Liu; Xin, 赵馨 Zhao

doi:10.3788/lop57.101023

Cited by 1 publication

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“…In terms of visible light tracking, Bu et al 47 introduced effective convolution operator (ECO) to improve the stability and accuracy of ship target tracking. In terms of infrared tracking, Li et al 48 filtered the infrared background noise according to the characteristics of complex background and weak morphological characteristics of marine targets, enhanced the target characteristics and improved the tracking accuracy.…”

Section: Target Awarenessmentioning

confidence: 99%

Development status and trend of autonomous operation for unmanned surface vehicle

Cai

2022

International Conference on Computer Application and Information Security (ICCAIS 2021)

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Autonomous operation for unmanned surface vehicle (USV) is the core competence for USV, and an important mean for unmanned and intelligent operation. USVs can be used for multi-mission, so autonomous operation for USV faces a lot of challenges, such as complex and changeable marine environmental factors, limited means of awareness in sea, low degree of automated operational decisions, difficult integration control of sailing and combat equipment. This study summarizes the development status of autonomous operation for USVs from awareness, decision and control. It addresses the difficult issues and current main technologies of autonomous operation for USVs, and points out the deficiencies of the technologies. Finally, based on the analyses of development status, it addresses the development trend of autonomous operation for USV.

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Section: Target Awarenessmentioning

confidence: 99%

Development status and trend of autonomous operation for unmanned surface vehicle

Cai

2022

International Conference on Computer Application and Information Security (ICCAIS 2021)

View full text Add to dashboard Cite

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A Preprocessing Method for Infrared Image Based on Maritime Target Tracking Performance

Cited by 1 publication

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Development status and trend of autonomous operation for unmanned surface vehicle

Development status and trend of autonomous operation for unmanned surface vehicle

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