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Research on the Multiple Small Target Detection Methodology in Remote Sensing. [PDF]
Zou C, Jeon WS, Rhee SY.
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Small-target detection in sea clutter
IEEE Transactions on Geoscience and Remote Sensing, 2004Sea clutter in marine surveillance radar makes the task of detecting small targets a very challenging problem. In this paper, a set of three signal processing techniques designed to suppress unwanted sea clutter radar echo and achieve target detection with no prior knowledge of the ocean and environmental conditions is presented.
Panagopolous, S., Soraghan, J.J.
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A real-time small target detection network
Signal, Image and Video Processing, 2021Target detection based on deep convolutional neural network has achieved excellent performance. However, small target detection is still one of the challenges in the field of computer vision. In this paper, we present an efficient network for real-time small target detection.
Moran Ju +3 more
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Small target detection by morphological operations
2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015Automatic target detection has an important application field in today's missile technology. Therefore, there are many studies in this field. In this context, morphological operation (MO) based methods were firstly investigated and tested on the prepared scenarios.
Ozan Yardimci +2 more
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Small target detection using wavelets
Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170), 2002Presents a method for the detection of small objects embedded in a noisy background. The detection is performed on the wavelet transformed image. After a preliminary de-noising pass, the objects are separated from background by exploiting the evaluation of Renyi's information at the different decomposition levels of the wavelet transform.
Giuseppe Boccignone +2 more
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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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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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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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Regular and Small Target Detection
2018Although remarkable results have been achieved in the areas of object detection, the detection of small objects is still a challenging task now. The low resolution and noisy representation make small objects difficult to detect, and further recognition will be much harder. Aiming at the small objects that have regular positions, shapes, colors or other
Wenzhe Wang +3 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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