Results 251 to 260 of about 1,135,336 (304)

Small-target detection in sea clutter

IEEE Transactions on Geoscience and Remote Sensing, 2004
Sea 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.
openaire   +3 more sources

A real-time small target detection network

Signal, Image and Video Processing, 2021
Target 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
openaire   +1 more source

Small target detection by morphological operations

2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015
Automatic 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
openaire   +1 more source

Small target detection using wavelets

Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170), 2002
Presents 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
openaire   +1 more source

Small bounding-box filter for small target detection

Optical Engineering, 2021
To 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
openaire   +1 more source

Detectability of infrared small targets

Infrared Physics & Technology, 2010
Selecting 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
openaire   +1 more source

Cognitive Approaches to Detection of Small Targets

2020 17th European Radar Conference (EuRAD), 2021
This 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
openaire   +1 more source

Regular and Small Target Detection

2018
Although 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
openaire   +1 more source

Small Target Detection Improvement in Hyperspectral Image

2013
Target 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
openaire   +2 more sources

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