Results 231 to 240 of about 11,225,352 (286)

A real-time small target detection network

open access: yesSignal, 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
core   +3 more sources

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

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   +2 more sources

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   +2 more sources

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   +2 more sources

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