Single-frame infrared small-target detection: A survey
M Zhao, W Li, L Li, J Hu, P Ma… - IEEE Geoscience and …, 2022 - ieeexplore.ieee.org
Compared with radar and visible light imaging, infrared imaging has its own unique
advantages, and in recent years, it has become a topic of intense research interest. Robust …
advantages, and in recent years, it has become a topic of intense research interest. Robust …
Infrared small target detection based on partial sum of the tensor nuclear norm
L Zhang, Z Peng - Remote Sensing, 2019 - mdpi.com
Excellent performance, real time and strong robustness are three vital requirements for
infrared small target detection. Unfortunately, many current state-of-the-art methods merely …
infrared small target detection. Unfortunately, many current state-of-the-art methods merely …
Infrared Small Target Detection via Non-Convex Rank Approximation Minimization Joint l2,1 Norm
To improve the detection ability of infrared small targets in complex backgrounds, a novel
method based on non-convex rank approximation minimization joint l 2, 1 norm (NRAM) was …
method based on non-convex rank approximation minimization joint l 2, 1 norm (NRAM) was …
Infrared dim and small target detection via multiple subspace learning and spatial-temporal patch-tensor model
Robust detection of infrared small and dim targets with highly heterogeneous backgrounds
plays an indispensable role in infrared search and tracking (IRST) system, which is still a …
plays an indispensable role in infrared search and tracking (IRST) system, which is still a …
Nonconvex tensor low-rank approximation for infrared small target detection
Infrared small target detection is an important fundamental task in the infrared system.
Therefore, many infrared small target detection methods have been proposed, in which the …
Therefore, many infrared small target detection methods have been proposed, in which the …
Infrared small target detection via nonconvex tensor tucker decomposition with factor prior
Infrared small target detection in complex scenes is an important but challenging research
hotspot in infrared early warning fields. Previous studies have proved that low-rank Tucker …
hotspot in infrared early warning fields. Previous studies have proved that low-rank Tucker …
Robust infrared small target detection via multidirectional derivative-based weighted contrast measure
R Lu, X Yang, W Li, J Fan, D Li… - IEEE Geoscience and …, 2020 - ieeexplore.ieee.org
Infrared (IR) small target detection in complex backgrounds is one of the key technologies in
IR search and tracking applications. Although significant progress has been made over the …
IR search and tracking applications. Although significant progress has been made over the …
Infrared small target detection based on partial sum minimization and total variation
In the advanced applications, based on infrared detection systems, the precise detection of
small targets has become a tough work today. This becomes even more difficult when the …
small targets has become a tough work today. This becomes even more difficult when the …
Infrared small target detection via non-convex tensor rank surrogate joint local contrast energy
X Guan, L Zhang, S Huang, Z Peng - Remote Sensing, 2020 - mdpi.com
Small target detection is a crucial technique that restricts the performance of many infrared
imaging systems. In this paper, a novel detection model of infrared small target via non …
imaging systems. In this paper, a novel detection model of infrared small target via non …
Facet derivative-based multidirectional edge awareness and spatial–temporal tensor model for infrared small target detection
Infrared (IR) small target detection in the complex background is an important but
challenging research hotspot in the field of target detection. The existing methods usually …
challenging research hotspot in the field of target detection. The existing methods usually …