Journal of Remote Sensing / 2021 / Article / Fig 2

Research Article

Feature Enhancement Network for Object Detection in Optical Remote Sensing Images

Figure 2

Framework of our proposed Feature Enhancement Network (FENet) for object detection in remote sensing images. Building on the popular Faster R-CNN with FPN and adopting the backbone of ResNet-101, our FENet mainly consists of a Dual Attention Feature Enhancement (DAFE) module and a Context Feature Enhancement (CFE) module. The DAFE module is used to strengthen the feature representations of FPN by using the Dual Attention Fusion (DAF) of spatial attention and channel attention. The CFE module is used for capturing global semantic information for better classification and bounding box regression by using a context encoding loss.