Persistent surveillance with small Unmanned Aerial Vehicles (sUAV): a feasibility study

Ohood Al Nuaimi; Omar Almelhi; Abdulrahman Almarzooqi; Abdullah Al Saadi Al Mansoori; Slim Sayadi; Issacniwas Swamidoss

doi:10.1117/12.2326693

9 October 2018 Persistent surveillance with small Unmanned Aerial Vehicles (sUAV): a feasibility study

Ohood Al Nuaimi, Omar Almelhi, Abdulrahman Almarzooqi, Abdullah Al Saadi Al Mansoori, Slim Sayadi, Issacniwas Swamidoss

Proceedings Volume 10796, Electro-Optical Remote Sensing XII; 107960K (2018) https://doi.org/10.1117/12.2326693
Event: SPIE Security + Defence, 2018, Berlin, Germany

Abstract

In typical Intelligence Surveillance and Reconnaissance (ISR) missions, persistent surveillance is commonly defined as the exercise of automatic intelligence discovery by monitoring a wide area coverage at a high altitude leveraging an aerial platform (manned or unmanned). It can be large enough to carry a matrix of high resolution cameras and a rack of high performance computing images processing and exploitation units (PEU). The majority of the small unmanned aerial vehicles (sUAV) are able to carry optics payloads, allowing them to take aerial images from strategic viewpoints. This capability constitutes a key enabler for an immense number of applications, such as crowd monitoring, search and rescue, surveillance scenario, industrial inspection and so on. The constrained onboard processing power in addition to the strict limit in the flying time of sUAV are amongst the serious challenges that have to be overcome to enable a cost effective persistent surveillance based on sUAV platforms. In this paper, we conduct a feasibility study for developing a potential sUAV based persistent surveillance system with tethered power supply.

Citation Download Citation

Ohood Al Nuaimi, Omar Almelhi, Abdulrahman Almarzooqi, Abdullah Al Saadi Al Mansoori, Slim Sayadi, and Issacniwas Swamidoss "Persistent surveillance with small Unmanned Aerial Vehicles (sUAV): a feasibility study", Proc. SPIE 10796, Electro-Optical Remote Sensing XII, 107960K (9 October 2018); https://doi.org/10.1117/12.2326693

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