Results 231 to 240 of about 11,225,352 (286)
Small target detection in UAV view based on improved YOLOv8 algorithm. [PDF]
Zhang X, Zuo G.
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LI-YOLOv8: Lightweight small target detection algorithm for remote sensing images that combines GSConv and PConv. [PDF]
Yan P, Qi X, Jiang L.
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GPR-TSBiNet: An Information Gradient Enrichment Model for GPR B-Scan Small Target Detection. [PDF]
Wang C +6 more
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ARSOD-YOLO: Enhancing Small Target Detection for Remote Sensing Images. [PDF]
Qiu Y +5 more
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Infrared Small Target Detection Algorithm Based on Improved Dense Nested U-Net Network. [PDF]
Du X +6 more
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A real-time small target detection network
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
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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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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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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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