Remote sensing image ship detection based on feature pyramid

摘要

We present a two-stage method for remote sensing image ship detection. The proposed approach efficiently detectsships in remote sensing images. Firstly, a light-weight classification network is used to classify different regions. In secondstage, we design a detection framework to detect ships in sub-images, which are considered to contain object in the firststage. To solve the scale problems in object detection, our detection network is built on feature pyramid network, but weexplicitly assign object into corresponding feature maps based on size. In our proposed framework, instead of using anchors,we predict object center point and the offsets to bounding box. The experiment results show that our proposed method hasa good performance in terms of speed and accuracy.