A5022539402- Remote-Sensing Image Classification
- Advanced Neural Network Applications
- Anomaly Detection Techniques and Applications
- Emotion and Mood Recognition
- Remote Sensing and LiDAR Applications
- Infrared Target Detection Methodologies
- Human Pose and Action Recognition
Northwestern Polytechnical University
2020-2022
In recent years, ship detection in satellite remote sensing images has become an important research topic. Most existing methods detect ships by using a rectangular bounding box but do not perform segmentation down to the pixel level. This paper proposes and method based on improved Mask R-CNN model. Our proposed can accurately segment at By adding bottom-up structure FPN of R-CNN, path between lower layers topmost layer is shortened, allowing features be more effectively utilized top layer....
In recent years, with the development of remote sensing technology and enhancement value images in military civil fields, image object segmentation has also received more attention. This paper mainly studies application instance based on deep convolutional neural network image. proposes an attention balanced feature pyramid module, which strengthens multi-level features uses module to suppress interference noise complex background. addiction, Soft-NMS is introduced improve performance...