Results 31 to 40 of about 3,027,178 (230)
Fine-Grained Ship Classification by Combining CNN and Swin Transformer
Remote Sensing, 2022 The mainstream algorithms used for ship classification and detection can be improved based on convolutional neural networks (CNNs). By analyzing the characteristics of ship images, we found that the difficulty in ship image classification lies in ...
Liang Huang +3 more
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A Method for Ship Detection in SAR Images Based on Anomaly Detection and Two-layer Censoring Mechanism [PDF]
Jisuanji gongcheng, 2017 Aiming at the problem of large censoring error of the existing intelligent detection algorithm for ship targets in SAR image,a novel method for ship detection based on Anomaly Detection(AD) and two-layer censoring algorithm is presented.The theory of ...
ZHAI Liang,LI Yu,SU Yi
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A regional deterrence ship design [PDF]
, 1994 Part of the TSSE Team 1992 - Regional Deterrence Ship ProjectA systems engineering approach to the development of a warship optimized for the deterrence of regional conflicts in littoral waters is presented, followed by a description of the preliminary ...
Cottle, Dean J. +4 more
core +3 more sources
Remote Sensing, 2023 Ship detection technology has achieved significant progress recently. However, for practical applications, lightweight ship detection still remains a very challenging problem since small ships have small relative scales in wide images and are easily ...
Yang Tian +4 more
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, 1999 The Surface Warfare Test Ship (SWTS) is designed as the successor to the Self Defense Test Ship (SDTS). It will be the Navy's centerpiece for shipboard self defence combat systems testing.
core +2 more sources
A Novel Salient Feature Fusion Method for Ship Detection in Synthetic Aperture Radar Images
IEEE Access, 2020 Ship detection of synthetic aperture radar (SAR) images is one of the research hotspots in the field of marine surveillance. Fusing salient features to detection network can effectively improve the precision of ship detection. However, how to effectively
Gang Zhang +4 more
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Review of plant disease image recognition algorithms based on deep learning
Dianzi Jishu YingyongPlant diseases pose a significant threat to agricultural production and food security, making timely and accurate identification and treatment critical. This article reviews the current status, challenges, and future directions of deep learning in plant ...
Yang Hankun +3 more
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingShip detection and identification is the key part of the maritime monitoring and safety. Ship monitoring methods based on coastal video surveillance, satellite imagery, and synthetic aperture radar have been well developed. As the emerging remote sensing
Wenjin Huang +7 more
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SDFSD-v1.0: A Sub-Meter SAR Dataset for Fine-Grained Ship Detection
Remote SensingIn the field of target detection, a prominent area is represented by ship detection in SAR imagery based on deep learning, particularly for fine-grained ship detection, with dataset quality as a crucial factor influencing detection accuracy.
Peixin Cai +7 more
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Journal of Ocean Engineering and ScienceA Two-Dimensional Convolutional Neural Network (2D-CNN)-based multi-feature fusion detection method is proposed to improve the detection performance of the submarine wake magnetic anomaly in view of its characteristics of low frequency and low signal-to ...
Ran Hui +3 more
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