TY - GEN
T1 - A satellite image target detection model based on an improved single-stage target detection network
AU - Liu, Runwu
AU - Wang, Tian
AU - Zhou, Yi
AU - Wang, Chuanyun
AU - Shan, Guangcun
AU - Snoussi, Hichem
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/11
Y1 - 2019/11
N2 - Aiming at the problem that it is difficult to detect small targets in satellite images, this paper proposes an improved method based on deep convolutional neural network YOLO V3. Firstly, the network structure of the original YOLO V3 was modified, and the target detection layer of three scales was reset. Then, during the detection process, since the test image is too large, the image is cut through the sliding window and then detected. During the experiment, the original YOLO V3 network and the improved network were used to train and test on the dataset. The experimental results show that the improved network improves the detection accuracy by 1.79% and the recall rate by 4.55%, the AP increased by 4.34%.
AB - Aiming at the problem that it is difficult to detect small targets in satellite images, this paper proposes an improved method based on deep convolutional neural network YOLO V3. Firstly, the network structure of the original YOLO V3 was modified, and the target detection layer of three scales was reset. Then, during the detection process, since the test image is too large, the image is cut through the sliding window and then detected. During the experiment, the original YOLO V3 network and the improved network were used to train and test on the dataset. The experimental results show that the improved network improves the detection accuracy by 1.79% and the recall rate by 4.55%, the AP increased by 4.34%.
KW - YOLO V3
KW - deep learning
KW - satellite image
KW - sliding window
KW - small target detection
UR - https://www.scopus.com/pages/publications/85080032343
U2 - 10.1109/CAC48633.2019.8997495
DO - 10.1109/CAC48633.2019.8997495
M3 - 会议稿件
AN - SCOPUS:85080032343
T3 - Proceedings - 2019 Chinese Automation Congress, CAC 2019
SP - 4931
EP - 4936
BT - Proceedings - 2019 Chinese Automation Congress, CAC 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 Chinese Automation Congress, CAC 2019
Y2 - 22 November 2019 through 24 November 2019
ER -