کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1133397 1489078 2015 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A terrain risk assessment method for military surveillance applications for mobile assets
ترجمه فارسی عنوان
یک روش ارزیابی خطر در سطح زمین برای برنامه های نظارت نظامی برای دارایی های موبایل
کلمات کلیدی
وسایل نقلیه هوایی بدون سرنشین، نظارت نظامی، ارزیابی زمین ریسک مدل سازی زمین
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی صنعتی و تولید
چکیده انگلیسی


• We developed a terrain risk assessment method for military surveillance.
• We developed the method for UAVs used for military combat operating posts.
• We modeled the terrain by calculating 5 risk factors using geographical parameters.
• We modeled high risk spots for methodical UAV surveillance plans.
• We tested the method using real-life scenario data provided by the sponsor.

This study proposes an analytical and flexible terrain risk assessment method for military surveillance applications for mobile assets. Considering the risk as the degree of possibility of insurgent presence, the assessment method offers an efficient evaluation of risk in the surrounding terrain for military combat operating posts or observation posts. The method is designed for unmanned aerial vehicles as the surveillance assets of choice to improve the effectiveness of their use. Starting with the area map and geographical data, the target terrain is first digitized for space representation. Then the data of nine geographical parameters are used to formulate five contributing risk factors. These factors are incorporated in an analytical framework to generate a composite map with risk scores that reveal the potential high-risk spots in the terrain. The proposed method is also applied to a real-life case study of COP Kahler in Afghanistan, which was a target for insurgent attacks in 2008. The results confirm that when evaluated with the developed method, the region that the insurgents used to approach COP Kahler has high concentration of high-risk cells.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers & Industrial Engineering - Volume 88, October 2015, Pages 88–99
نویسندگان
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