Paper
22 February 2023 Target high precision horizontal region detection based on improved faster R-CNN
Yu Liu, Dejun Li, Xiaorui Sun, Jian Chen, Zhaohong Xu
Author Affiliations +
Proceedings Volume 12587, Third International Seminar on Artificial Intelligence, Networking, and Information Technology (AINIT 2022); 1258706 (2023) https://doi.org/10.1117/12.2667441
Event: Third International Seminar on Artificial Intelligence, Networking, and Information Technology (AINIT 2022), 2022, Shanghai, China
Abstract
Aiming at the multi-scale, multi-directional and deformation of targets in remote sensing images, a Fast R-CNN algorithm with deformable convolution is proposed in this paper, which can significantly improve the detection accuracy of ship targets and shorten the processing time.According to the characteristics of large aspect ratio of ships, the size and ratio of anchor frame are adjusted by the K-means clustering method , so that the improved algorithm is more suitable for detecting approximately vertical or horizontal objects, and can obtain high-precision horizontal region detection of ship targets.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yu Liu, Dejun Li, Xiaorui Sun, Jian Chen, and Zhaohong Xu "Target high precision horizontal region detection based on improved faster R-CNN", Proc. SPIE 12587, Third International Seminar on Artificial Intelligence, Networking, and Information Technology (AINIT 2022), 1258706 (22 February 2023); https://doi.org/10.1117/12.2667441
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Target detection

Convolution

Image processing

RELATED CONTENT


Back to Top