remote sensing imageOne of the most difficult tasks of ship detection is detecting the ship which is docking at the port in remote sensing image. Traditional methods of automatic detection cannot be used to detect the land/waterboundaries, because both the gray values and textural features of a...
The contemporary research regarding infrared ship imagery is insufficient and remains in need of addressing the issues related to smaller object sizes and more elaborate information. To overcome these challenges, we introduce RD-YOLO, a model dedicated to ship object detection in remote sensing, with...
光学遥感特征提取最小距离分类器Local cloud and fog can cause low contrast and poor visibility in optical remote sensing images of certain ocean regions, which hinders ship surveillance. To overcome this, a multi-scale phase spectrum is used to reconstruct the low observable image to form a ...
Remote sensing image ship detection under complex sea conditions based on deep semantic segmentation Remote Sensing, 12 (4) (2020), p. 625 CrossrefGoogle Scholar 94 H. Guo, X. Yang, N. Wang, et al. A rotational libra R-CNN method for ship detection IEEE Transactions on Geoscience and Re...
at solving the above issues, this paper proposes to achieve ship detection in remote sensing images by using a method based on Dense RFB and LSTM. This... 张, 涛,杨, 小冈,卢, 孝强,... - 《Journal of Remote Sensing》 被引量: 0发表: 2022年 Ship Detection in Radar Image Series Base...
Ship detection plays a crucial role in remote sensing image processing, which has drawn great attention in recent years. A novel neural network architecture named squeeze excitation skip-connection path networks (SESPNets) is proposed. A bottom-up path is added to feature pyramid network to improv...
Deep learning has proved to be useful for ship detection in SAR satellite images. SAR is a satellite that can be used to capture images from Earth's surface even in unfavorable weather conditions. Although many object detection models have been applied to this problem previously, we wanted to ...
C Dong,J Liu,F Xu - 《Remote Sensing》 被引量: 5发表: 2018年 YOLO-RSA: A Multiscale Ship Detection Algorithm Based on Optical Remote Sensing Image Currently, deep learning is extensively utilized for ship target detection; however, achieving accurate and real-time detection of multi-scale ta...
Ship target detection in high-resolution remote sensing images has always been the focus and hotspot in image understanding. Real-time and effective detection of ships play an extremely important role in marine transportation, military operations and so on. Firstly, the full-factor ship target ...
To effectively reduce false alarm in non-ship area and improve the detection efficiency from remote sensing images, we developed a light-weight local candidate scene network( L 2 CSN) to extract the local candidate scenes with ships. Then, for the selected local candidate scenes, we propose a...