Results 31 to 40 of about 265,073 (292)
Detecting inshore ships in satellite images
2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015 Ship detection in satellite images is used for monitoring illegal fishing and violation of coastal waters or general maritime management. SAR images has been extensively used in this manner. Recently, researchers have started using optical satellite images for ship detection. These studies can be divided into two categories as inshore and offshore ship
Ozcan, Abdullah H., Unsalan, Cem
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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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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Ship detection by an airborne passive interferometric microwave sensor has been proposed as a powerful complementary tool for ship detection, especially for large ships in low visibility conditions and high sea clutter.
Hailiang Lu +11 more
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BgCut: Automatic Ship Detection from UAV Images [PDF]
The Scientific World Journal, 2014 Ship detection in static UAV aerial images is a fundamental challenge in sea target detection and precise positioning. In this paper, an improved universal background model based on Grabcut algorithm is proposed to segment foreground objects from sea automatically.
Chao Xu +3 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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Self-Selective Correlation Ship Tracking Method for Smart Ocean System [PDF]
, 2019 In recent years, with the development of the marine industry, navigation environment becomes more complicated. Some artificial intelligence technologies, such as computer vision, can recognize, track and count the sailing ships to ensure the maritime ...
Du, X +5 more
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SAR Ship Detection for Rough Sea Conditions [PDF]
IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019 In the Synthetic Aperture Radar (SAR) framework many detection algorithms and techniques have been published in the recent literature; however the detection of vessels whose dimensions are in the order of the image spatial resolution is still challenging in rough sea state scenarios.
Iervolino, Pasquale +3 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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