Results 11 to 20 of about 11,277,587 (243)
SID-TGAN: A Transformer-Based Generative Adversarial Network for Sonar Image Despeckling
Remote Sensing, 2023 Sonar images are inherently affected by speckle noise, which degrades image quality and hinders image exploitation. Despeckling is an important pre-processing task that aims to remove such noise so as to improve the accuracy of analysis tasks on sonar ...
Xin Zhou +4 more
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Remote Sensing, 2022 With the development of sonar technology, sonar images have been widely used to detect targets. However, there are many challenges for sonar images in terms of object detection.
Jier Xi, Xiufen Ye, Chuanlong Li
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Sonar image recognition of underwater target based on convolutional neural network
Xibei Gongye Daxue Xuebao, 2021 Underwater target recognition is one core technology of underwater unmanned detection. To improve the accuracy of underwater automatic target recognition, a sonar image recognition method based on convolutional neural network was proposed and the ...
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Side-scan Sonar Image De-noising Based on Bidimensional Empirical Mode Decomposition and Non-local Means [PDF]
E3S Web of Conferences, 2020 In order to suppress the multiplicative specular noise in side-scan sonar images, a denoising method combining bidimensional empirical mode decomposition and non-local means algorithm is proposed.
Zhao Kun +3 more
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Pre-trained Models for Sonar Images [PDF]
OCEANS 2021: San Diego – Porto, 2021 Global Oceans 2021, Camera ready, 8 pages, 9 ...
Valdenegro-Toro, Matias +2 more
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DP-ViT: A Dual-Path Vision Transformer for Real-Time Sonar Target Detection
Remote Sensing, 2022 Sonar image is the main way for underwater vehicles to obtain environmental information. The task of target detection in sonar images can distinguish multi-class targets in real time and accurately locate them, providing perception information for the ...
Yushan Sun +5 more
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A blind contour‐aware quality model for sonar images
IET Image Processing, 2022 Since the penetration depth of visible light is limited in muddy and dark deep marine environment, sonar imaging, which is independent of natural light, has been attracting much attention in underwater detections.
Weiling Chen +3 more
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Robotics: Science and Systems I, 2005 This paper demonstrates that sonar images correlate badly because target geometry and image fringes correlate in different coordinate systems. It is shown that if the receiver is a line array, all point objects have the same image in a coordinate system with axes of range and the sine of target bearing (the (r, s) coordinate system).
Richard J. Rikoski +2 more
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Active Object Detection in Sonar Images [PDF]
IEEE Access, 2020 Object detection in sonar images has always been a challenge due to the low resolution of sonar images and the strong noise existing in them. Although convolutional neural networks (CNNs) have been applied to detect objects in sonar images, successful detection is impeded by the lack of large annotated sonar images.
Longyu Jiang +4 more
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Image Recognition Technology in Texture Identification of Marine Sediment Sonar Image
Complexity, 2021 Through the recognition of ocean sediment sonar images, the texture in the image can be classified, which provides an important basis for the classification of ocean sediment.
Chao Sun, Li Wang, Nan Wang, Shaohua Jin
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