EO Sensor Planning for UAV Engineering Reconnaissance Based on NIIRS and GIQE
Joint Authors
Sun, Yangyang
Bai, Jingbo
Chen, Liang
Feng, Yufang
Liu, Jianyong
Source
Mathematical Problems in Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-12-31
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
When unmanned aerial vehicles (UAVs) support the Corps of Engineers in reconnaissance operations, in order to gather visible image information that should meet the mission’s need, we grouped the engineering reconnaissance information interpretation tasks into 10 levels by using the National Imagery Interpretability Rating Scale (NIIRS).
The quantitative relationship between the engineering targets, sensor performance, and flight altitude was established through the general image quality equation (GIQE) and the geometrical property of the ground sampled distance (GSD).
Through some simulations, the influence of variable factors of the EO sensor imaging quality was analyzed, and the imaging height of the sensor for an engineering reconnaissance scenario was calculated.
The results showed that this study could solve the problem of poor image quality caused by the flight altitude not meeting the mission requirements.
American Psychological Association (APA)
Bai, Jingbo& Sun, Yangyang& Chen, Liang& Feng, Yufang& Liu, Jianyong. 2018. EO Sensor Planning for UAV Engineering Reconnaissance Based on NIIRS and GIQE. Mathematical Problems in Engineering،Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1208579
Modern Language Association (MLA)
Bai, Jingbo…[et al.]. EO Sensor Planning for UAV Engineering Reconnaissance Based on NIIRS and GIQE. Mathematical Problems in Engineering No. 2018 (2018), pp.1-9.
https://search.emarefa.net/detail/BIM-1208579
American Medical Association (AMA)
Bai, Jingbo& Sun, Yangyang& Chen, Liang& Feng, Yufang& Liu, Jianyong. EO Sensor Planning for UAV Engineering Reconnaissance Based on NIIRS and GIQE. Mathematical Problems in Engineering. 2018. Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1208579
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1208579