Journal ArticleDOI
Dim and small infrared target fast detection guided by visual saliency
TLDR
Experimental results have indicated that the proposed fast target detection method guided by visual saliency can not only detect dim and small infrared targets with small amount of computation, high detection probability, and low false alarm rate, but also adapt to various complex backgrounds.About:
This article is published in Infrared Physics & Technology.The article was published on 2019-03-01. It has received 34 citations till now. The article focuses on the topics: Constant false alarm rate.read more
Citations
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Journal ArticleDOI
Local Gradient Field Feature Contrast Measure for Infrared Small Target Detection
Bin Xiong,Xinhan Huang,Min Wang +2 more
TL;DR: The experimental results indicate that the proposed approach shows superiority to other advanced approaches and can effectively and stably reduce false alarm probability and enhance detection rate.
Journal ArticleDOI
An infrared target intrusion detection method based on feature fusion and enhancement
TL;DR: The experiment results indicated that the proposed infrared target intrusion detection algorithm could detect the infrared invasion target more accurately, and suppress the background noise more effectively, than traditional infrared target detection methods.
Journal ArticleDOI
Wavelet-Based Contourlet Transform and Kurtosis Map for Infrared Small Target Detection in Complex Background.
He Wang,Yunhong Xin +1 more
TL;DR: An efficient and robust method which utilizes WBCT method in conjunction with kurtosis model for the infrared small target detection in complex background and it is superior in detection rate, false alarm rate and ROC curve especially in complex Background.
Journal ArticleDOI
Infrared salient object detection based on global guided lightweight non-local deep features
TL;DR: Experimental results demonstrate that the proposed DG-Light-NLDF model could detect IR maritime salient objects more accurately with less parameters, and comparison experiments between two datasets validated that the larger dataset is also much more beneficial in improving saliency detection performance.
Journal ArticleDOI
Small Infrared Target Detection via a Mexican-Hat Distribution
TL;DR: The proposed method is so effective in enhancing small targets that target detection gets very easy and achieves true detection rates of 0.9900 and 0.9688 for sequence 1 and sequence 2, respectively, and the false detection rates are superior over both conventional detectors and state-of-the-art detectors.
References
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Journal ArticleDOI
A Local Contrast Method for Small Infrared Target Detection
TL;DR: An effective small target detection algorithm inspired by the contrast mechanism of human vision system and derived kernel model is presented, which can improve the SNR of the image significantly.
Journal ArticleDOI
Infrared Patch-Image Model for Small Target Detection in a Single Image
TL;DR: Extensive synthetic and real data experiments show that the proposed small target detection method not only works more stably for different target sizes and signal-to-clutter ratio values, but also has better detection performance compared with conventional baseline methods.
Journal ArticleDOI
Visual Saliency Based on Scale-Space Analysis in the Frequency Domain
TL;DR: A new bottom-up paradigm for detecting visual saliency is proposed, characterized by a scale-space analysis of the amplitude spectrum of natural images, and it is shown that the convolution of the image amplitude spectrum with a low-pass Gaussian kernel of an appropriate scale is equivalent to an image saliency detector.
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A Robust Infrared Small Target Detection Algorithm Based on Human Visual System
TL;DR: A robust IR small target detection algorithm based on HVS is proposed to pursue good performance in detection rate, false alarm rate, and speed simultaneously.
Journal ArticleDOI
Scale invariant small target detection by optimizing signal-to-clutter ratio in heterogeneous background for infrared search and track
Sungho Kim,Joohyoung Lee +1 more
TL;DR: Results of incoming target sequence validate the detection capability of the proposed TM-SCR method from dim, small targets to strong, large targets in comparison with the Top-hat method at the same rate of false alarms.