TY - GEN
T1 - Joint detection of airplane targets based on sar images and optical images
AU - Qin, Jitao
AU - Qu, Haicheng
AU - Chen, Hao
AU - Chen, Wen
N1 - Publisher Copyright:
©2019 IEEE
PY - 2019
Y1 - 2019
N2 - In airplane target detection, there was the drawback of weak recognition ability for dark targets and high false alarm rate for detected targets. In order to address the problem, we proposed a detection method based on SAR and optical image feature fusion. It extracted texture, moment and backscattering characteristics from SAR images and combined with optical features. Moreover, the novel airplane edge templates incorporating SAR and optical images were created to acquire saliency map. During the process of detection, first, the saliency map and the One-Class-SVM (OCSVM) classifier were used to initially recognize the suspected airplane targets. Then, the combination features were adopted to further identify the misidentified airplane target. The experimental results showed that the Precision of the proposed method was 61.82% and the False Alarm Rate was 20%, which was better than the HIS-based detection method.
AB - In airplane target detection, there was the drawback of weak recognition ability for dark targets and high false alarm rate for detected targets. In order to address the problem, we proposed a detection method based on SAR and optical image feature fusion. It extracted texture, moment and backscattering characteristics from SAR images and combined with optical features. Moreover, the novel airplane edge templates incorporating SAR and optical images were created to acquire saliency map. During the process of detection, first, the saliency map and the One-Class-SVM (OCSVM) classifier were used to initially recognize the suspected airplane targets. Then, the combination features were adopted to further identify the misidentified airplane target. The experimental results showed that the Precision of the proposed method was 61.82% and the False Alarm Rate was 20%, which was better than the HIS-based detection method.
KW - Airplane Object Detection
KW - Image fusion
KW - Optical Image
KW - SAR Image
UR - https://www.scopus.com/pages/publications/85114043130
U2 - 10.1109/IGARSS.2019.8900167
DO - 10.1109/IGARSS.2019.8900167
M3 - 会议稿件
AN - SCOPUS:85114043130
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 1366
EP - 1369
BT - 2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019
Y2 - 28 July 2019 through 2 August 2019
ER -