Results 231 to 240 of about 11,225,352 (285)

LI-YOLOv8: Lightweight small target detection algorithm for remote sensing images that combines GSConv and PConv. [PDF]

PLoS One
Yan P, Qi X, Jiang L.
europepmc   +1 more source

GPR-TSBiNet: An Information Gradient Enrichment Model for GPR B-Scan Small Target Detection. [PDF]

Sensors (Basel)
Wang C, Guan Y, Chi M, Shen F, Yu Z, Chen Q, Chen C.   +6 more
europepmc   +1 more source

ARSOD-YOLO: Enhancing Small Target Detection for Remote Sensing Images. [PDF]

Sensors (Basel)
Qiu Y, Zheng X, Hao X, Zhang G, Lei T, Jiang P.   +5 more
europepmc   +1 more source

Infrared Small Target Detection Algorithm Based on Improved Dense Nested U-Net Network. [PDF]

Sensors (Basel)
Du X, Cheng K, Zhang J, Wang Y, Yang F, Zhou W, Lin Y.   +6 more
europepmc   +1 more source

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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, Seyit Tunc, Ilkay Ulusoy Parnas   +2 more
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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, Angelo Chianese, Antonio Picariello   +2 more
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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, M. Antoniou, C. Baker, W. Stafford   +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, Bin Wu 0001, Jinna Lv, Pilin Dai   +3 more
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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
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