Studies from Shandong University of Science and Technology Have Provided New Data on Applied Intelligence (Sda-net: a Detector for Small, Densely Distributed, and Arbitrary-directional Ships In Remote Sensing Images)

摘要

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Applied Intelligence. According to news reporting originating in Qingdao, People’s Republic of China, by NewsRx journalists, research stated, “Ships in remote sensing images are usually arranged in arbitrary direction, with small objects and dense distribution, and are easily interfered by background noise, which makes the existing object detection methods have a certain missed detection rate and false detection rate in this kind of complex scene. In order to solve the above problems, a neural network for ship detection is proposed.”