RPCA Infrared Small Target Detection Based on Local Entropy Reference in Preprocessing

2021 ◽  
Author(s):  
Wenhuan Cao ◽  
Xirui Xue
Keyword(s):  
Target Detection ◽  
Small Target ◽  
Local Entropy ◽  
Small Target Detection ◽  
Infrared Small Target

Infrared small target detection based on modified local entropy and EMD

2010 ◽  
Vol 8 (1) ◽  
pp. 24-28 ◽  
Author(s):  
邓鹤 He Deng ◽  
刘建国 Jianguo Liu ◽  
陈忠 Zhong Chen
Keyword(s):  
Target Detection ◽  
Small Target ◽  
Local Entropy ◽  
Small Target Detection ◽  
Infrared Small Target

scholarly journals Infrared Small Target Detection Method Combined with Bilateral Filter and Local Entropy

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Zhonghua Wang ◽  
Siwei Duan ◽  
Chengli Sun
Keyword(s):  
False Alarm ◽  
False Alarm Rate ◽  
Target Detection ◽  
Bilateral Filter ◽  
Background Suppression ◽  
Small Target ◽  
Local Entropy ◽  
Edge Preserving ◽  
Small Target Detection ◽  
Infrared Small Target

According to the larger false alarm rate resulted from fluctuant clutter, a novel method combined with bilateral filter and local entropy is proposed for infrared small target detection in this paper. Firstly, the original image is respectively processed by bilateral filter and local entropy, and then the two processed images are fused by point product to generate the background suppression map. Secondly, the guided filter is used to further suppress the background and enhance the small target in the map. Thirdly, the small target is detected by the adaptive threshold in the filtered map. The theoretical analyses and experimental results show that the proposed method not only effectively suppresses the clutter background, depending on the edge preserving and denoising characteristics of bilateral filtering, but also effectively highlights the small target, relying on the sensitivity of local entropy to the abrupt gray region. Compared with other methods, it is demonstrated that the proposed method owns lower false alarm rate and higher detection rate.

scholarly journals Infrared small target detection based on region proposal and CNN classifier

2021 ◽  
Author(s):  
Mingming Fan ◽  
Shaoqing Tian ◽  
Kai Liu ◽  
Jiaxin Zhao ◽  
Yunsong Li
Keyword(s):  
Neural Network ◽  
False Alarm ◽  
False Alarm Rate ◽  
Target Detection ◽  
Detection Rate ◽  
Corner Detection ◽  
Small Target ◽  
Small Target Detection ◽  
Potential Target ◽  
Infrared Small Target

AbstractInfrared small target detection has been a challenging task due to the weak radiation intensity of targets and the complexity of the background. Traditional methods using hand-designed features are usually effective for specific background and have the problems of low detection rate and high false alarm rate in complex infrared scene. In order to fully exploit the features of infrared image, this paper proposes an infrared small target detection method based on region proposal and convolution neural network. Firstly, the small target intensity is enhanced according to the local intensity characteristics. Then, potential target regions are proposed by corner detection to ensure high detection rate of the method. Finally, the potential target regions are fed into the classifier based on convolutional neural network to eliminate the non-target regions, which can effectively suppress the complex background clutter. Extensive experiments demonstrate that the proposed method can effectively reduce the false alarm rate, and outperform other state-of-the-art methods in terms of subjective visual impression and quantitative evaluation metrics.

Infrared Small Target Detection via Nonconvex Tensor Fibered Rank Approximation

2021 ◽  
pp. 1-21
Author(s):  
Xuan Kong ◽  
Chunping Yang ◽  
Siying Cao ◽  
Chaohai Li ◽  
Zhenming Peng
Keyword(s):  
Target Detection ◽  
Small Target ◽  
Small Target Detection ◽  
Rank Approximation ◽  
Infrared Small Target

Infrared small target detection algorithm based on feature salience

2011 ◽  
Vol 98 (1) ◽  
pp. 137-145 ◽  
Author(s):  
Zhen-Xue Chen ◽  
Cheng-Yun Liu ◽  
Fa-Liang Chang
Keyword(s):  
Target Detection ◽  
Detection Algorithm ◽  
Small Target ◽  
Small Target Detection ◽  
Infrared Small Target
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