TY - JOUR
T1 - Infrared small-target detection via tensor construction and decomposition
AU - Chen, Zhenguo
AU - Chen, Shuizhong
AU - Zhai, Zhengjun
AU - Zhao, Mingjing
AU - Jie, Feiran
AU - Li, Wei
N1 - Publisher Copyright:
© 2021 Informa UK Limited, trading as Taylor & Francis Group.
PY - 2021
Y1 - 2021
N2 - Infrared small-target detection of a low signal-to-noise ratio (SNR) has been an important research hotspot. Small targets lack texture and detailed information; in addition, the background tends to be complex and diverse. These factors mean small targets can be easily submerged, resulting in a low probability of detection and a high false alarm rate. In the absence of texture and detailed information in infrared images, neighbouring spatial information is a good complement. In this paper, a novel method is proposed, which introduces three-order tensor construction and decomposition (TCD) to fully utilize neighbouring spatial information. Furthermore, discontinuous multi-scale windows are designed to achieve a more robust detection performance. Experiments are performed on three real infrared datasets and the results demonstrate the effectiveness of the proposed TCD.
AB - Infrared small-target detection of a low signal-to-noise ratio (SNR) has been an important research hotspot. Small targets lack texture and detailed information; in addition, the background tends to be complex and diverse. These factors mean small targets can be easily submerged, resulting in a low probability of detection and a high false alarm rate. In the absence of texture and detailed information in infrared images, neighbouring spatial information is a good complement. In this paper, a novel method is proposed, which introduces three-order tensor construction and decomposition (TCD) to fully utilize neighbouring spatial information. Furthermore, discontinuous multi-scale windows are designed to achieve a more robust detection performance. Experiments are performed on three real infrared datasets and the results demonstrate the effectiveness of the proposed TCD.
UR - http://www.scopus.com/inward/record.url?scp=85109154351&partnerID=8YFLogxK
U2 - 10.1080/2150704X.2021.1944689
DO - 10.1080/2150704X.2021.1944689
M3 - Article
AN - SCOPUS:85109154351
SN - 2150-704X
VL - 12
SP - 900
EP - 909
JO - Remote Sensing Letters
JF - Remote Sensing Letters
IS - 9
ER -