Abstract
The sea area supervision is the premise and guarantee of safeguarding national security, protecting national sovereignty, and realizing the development of marine resources, and its importance is self-evident. To carry out the national sea area work more efficiently, this study designed low altitude-Unmanned Aerial Vehicles (UAV) remote sensing system applied to the sea area supervision and analyzed the remote sensing photography technology and remote sensing image processing technology. Experiments verified the effectiveness of the system. The research results show that the UAV-based low altitude remote sensing system can extract high-precision sea area information through aerial images’ interpretation. It is hoped that this study can provide some reference for improving the efficiency of current sea area supervision.
Highlights
With the rapid economic development of all countries in the world, land resources have been unable to meet the needs of national development, so the ocean with rich natural resources will become the focus of follow-up development of all countries in the world (Lamchin et al, 2016; Zhang et al, 2015)
The images captured by a use Aeronaves No Tripuladas (UAV) remote sensing camera constitute a light beam, which is regarded as the basic adjustment calculation unit
In order to verify the effectiveness of the UAV low altitude remote sensing system, experiments were carried out to detect the coastline of islands in the sea area
Summary
With the rapid economic development of all countries in the world, land resources have been unable to meet the needs of national development, so the ocean with rich natural resources will become the focus of follow-up development of all countries in the world (Lamchin et al, 2016; Zhang et al, 2015). It is necessary to map the islands in the ocean to realize the search and development of marine resources (Cao et al, 2016; Gorji et al, 2017; Nieuwhof et al, 2015). The information acquisition method for islands and reefs in many countries is mainly naval manual measurement. This method is inefficient and accompanied by substantial operational risks, which can no longer meet current marine development needs (Cummer & Inan, 2016; Liu & Zhou, 2017). This study proposes to use Aeronaves No Tripuladas (UAV) instead of artificial, using UAV remote sensing technology to detect islands in the sea area, hoping to provide a particular reference for the current sea area detection and supervision work
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