Airplane Detection and Recognition Incorporating Target Component Detection

Abstract

In the 2020 Gaofen Challenge on Automated High- Resolution Earth Observation Image Interpretation [1], there is a topic on airplane detection and recognition in optical images. The task is to detect and classify 10 types of civil airplanes, and the difficulty lies in the classification of similar airplanes. We propose a novel airplane detection and recognition method incorporating component detection, which is based on data preprocessing, basic detection network and object head detection. With the experiments between our approach and other detection networks in local training dataset, online validation and test dataset, our method effectively improved the performance of detection and recognition of airplanes in optical images.