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Detectability of infrared small targets
Infrared Physics & Technology, 2010Selecting the most appropriate algorithms for detecting small targets in varied infrared image scenes is frequently needed, since the relative characteristics between small targets and backgrounds in varied scenes are disparate. To solve that problem, a novel criterion is proposed in this article to measure the difficulty in distinguishing small ...
Kang Huang, Xia Mao
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Small bounding-box filter for small target detection
Optical Engineering, 2021To detect small infrared targets under the condition of dense clutters, we propose a single-frame target detection algorithm based on a small bounding-box filter, which is characterized by good adaptability to the position and size of a small target. During the small target detection process, the proposed algorithm first searches for the local maximum ...
Jingneng Fu +3 more
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Cognitive Approaches to Detection of Small Targets
2020 17th European Radar Conference (EuRAD), 2021This paper shows the early results from an investigation into the potential gain in detection performance achievable by optimizing the parameterization of a CA-CFAR detector to local clutter behaviour. The effect of varying CFAR window length is studied in particular for range correlated time independent samples, and the CFAR Loss (measured by ...
E. Humphreys +3 more
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SAR image enhancement for small target detection
2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)., 2003The paper investigates the impact of SAR image enhancement on the performance of small target detection in SAR images. Three SAR image enhancement algorithms are evaluated on large SAR image data-sets. The evaluation results show that image enhancement can greatly improve the performance of false alarm mitigation, and that the level of performance ...
Jingxin Zhang 0001 +2 more
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Small Target Detection Improvement in Hyperspectral Image
2013Target detection is an important issue in the HyperSpectral Image (HSI) processing field. However, current spectral-identification-based target detection algorithms are sensitive to the noise and most denoising algorithms cannot preserve small targets, therefore it is necessary to design a robust detection algorithm that can preserve small targets ...
Lin, Tao +2 more
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SVD-based scattered small targets detection
2014 International Conference on Multisensor Fusion and Information Integration for Intelligent Systems (MFI), 2014Due to lack of sufficient shape and strength information about the targets present in the entire image obtained in a wide range of scenarios over a long distance, it is very hard to detect these targets using the existing detection methods. In order to solve this problem, this paper proposes a scattered small target detection algorithm based on ...
Jingli Gao +2 more
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Infrared small target detection with compressive measurements
2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016A novel scheme for infrared small target detection in compressive domain is presented. First, the original image is separated into two components, i.e., the target and the background. Next, we compress them individually. Finally, the compressed target image is utilized to construct the corresponding compressive detector to perform detection in ...
Lijuan Xie +3 more
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Chaotic detection of small target in sea clutter
IEEE International Conference on Acoustics Speech and Signal Processing, 1993A new method based on chaos and neural network theory for small target detection in sea clutter is presented. The authors present the signal model. They then describe a neural network trained with the least-mean-square (LMS) algorithm for the dynamic reconstruction of sea clutter.
Bob X. Li, Simon Haykin 0001
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Dim and small target detection based on their living environment
Digital Signal Processing, 2022Abstract Dim and small targets detection in a cluttered background requires high discrimination features to separate them from the noisy environment. Previous local contrast measure based methods lack scale invariance and also cannot fully learn the features of target and target's living environment.
Shugang Zhou, Zhisheng Gao, Chunzhi Xie
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An Adaptation of Cnn for Small Target Detection in the Infrared
IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018Due to the low signal to noise ratio and limited spatial resolution, small target detection in an infrared image is a challenging task. Existing methods often have high false alarm rates and low probabilities of detection when infrared small targets submerge in the background clutter.
Dong Zhao 0005 +3 more
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