TY - GEN
T1 - Infrared Small Target Detection Based on Facet Model and Structure Tensor
AU - Dong, Jiaojiao
AU - Shan, Tao
AU - Pang, Dongdong
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/6
Y1 - 2020/6
N2 - Small target in infrared image has small size, low signal-to-noise ratio (SNR), and lack of obvious structure or texture features, which bring great difficulties to target detection. In this paper, a single frame detection method is proposed, which combines the first-order directional derivative of facet model with structural tensor. First, four directional derivatives of the original infrared image are calculated based on facet model. Then, according to the directional derivative feature of the target, the structure tensor eigenvalue matrix is employed to enhance the target and suppress the background clutter. Four salient maps are gained. Finally, the final fusion map is obtained by multiplying the salient maps of all directions. The experimental results show that the performance of the proposed method is better than the other four methods in processing real infrared image.
AB - Small target in infrared image has small size, low signal-to-noise ratio (SNR), and lack of obvious structure or texture features, which bring great difficulties to target detection. In this paper, a single frame detection method is proposed, which combines the first-order directional derivative of facet model with structural tensor. First, four directional derivatives of the original infrared image are calculated based on facet model. Then, according to the directional derivative feature of the target, the structure tensor eigenvalue matrix is employed to enhance the target and suppress the background clutter. Four salient maps are gained. Finally, the final fusion map is obtained by multiplying the salient maps of all directions. The experimental results show that the performance of the proposed method is better than the other four methods in processing real infrared image.
KW - Infrared small target detection
KW - facet model
KW - first-order directional derivative
KW - structure tensor
UR - http://www.scopus.com/inward/record.url?scp=85086239059&partnerID=8YFLogxK
U2 - 10.1109/ITNEC48623.2020.9085175
DO - 10.1109/ITNEC48623.2020.9085175
M3 - Conference contribution
AN - SCOPUS:85086239059
T3 - Proceedings of 2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2020
SP - 1246
EP - 1250
BT - Proceedings of 2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2020
A2 - Xu, Bing
A2 - Mou, Kefen
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 4th IEEE Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2020
Y2 - 12 June 2020 through 14 June 2020
ER -
