Document Type : Research Articles

Authors

• Yaseen Al-Mulla
• Ahsan Ali
• Safa Al-Rumhi
• Mohammed Al-Muqaimi
• Mohammed Al-Wahidi

Remote Sensing and Geographic Information Systems Research Center, Sultan Qaboos University

Abstract

The concept of command, control, communication and coordination in defense and security operations depends largely on the availability and analysis of accurate spatial and temporal information to reach quick decisions for executive orders. Since defense and security agencies around the world obtain huge amounts of visual surveillance data on daily basis from various sources of sensor technology, such as fixed sensors or those connected to moving objects such as drones, vehicles, and satellites, the challenge has become not in collecting the data itself, but in processing and analyzing it. Hence, machine learning and artificial intelligence can be used. It is an application of artificial intelligence that uses computational methods to simulate the human eye. Similar to how people interpret visual information, computer vision programs based on remote sensing can "see" and "respond" to visual contact, extract valuable information, and make judgments based on what is "seen". Therefore, in the current digital era, artificial intelligence applications based on remote sensing technologies have become an excellent tool for military and security commanders before, during and after any operation. The use of these applications has revolutionized the ways in which these devices operate to obtain the required strategic information. For example, machine learning enables the creation of artificial intelligence computer vision that can classify and identify huge amounts of surveillance footage captured by surveillance equipment both at low altitudes such as drones and from high altitudes such as satellites. The development of algorithms can enable us to determine the contents of these huge amounts of data, detail any abnormal cases or diagnoses, and identify relevant targets that have been programmed to be reported. The system can then alert a human operator and highlight which targets are flagged while determining the accuracy of the diagnosis. This study investigates the concept, mechanism, and applications of artificial intelligence based on remote sensing and presents practical models of these applications in the field of defense and security studies

Keywords

• Remote Sensing
• Artificial Intelligence
• Machine Learning
• Defense
• Security