Results 31 to 40 of about 263,998 (216)
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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Remote Sensing, 2021 Ship detection is an important but challenging task in the field of computer vision, partially due to the minuscule ship objects in optical remote sensing images and the interference of clouds occlusion and strong waves.
Liqiong Chen, Wenxuan Shi, Dexiang Deng
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Offshore Metallic Platforms Observation Using Dual-Polarimetric TS-X/TD-X Satellite Imagery: A Case Study in the Gulf of Mexico [PDF]
, 2017 Satellite-based synthetic aperture radar (SAR) has been proven to be an effective tool for ship monitoring. Offshore platforms monitoring is a key topic for both safety and security of the maritime domain.
Marino, Armando +2 more
core +3 more sources
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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Enhancing AIS to Improve Whale-Ship Collision Avoidance and Maritime Security [PDF]
, 2009 Whale-ship strikes are of growing worldwide concern due to the steady growth of commercial shipping. Improving the current situation involves the creation of a communication capability allowing whale position information to be estimated and exchanged ...
Fall, Kevin +2 more
core +2 more sources
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
openaire +3 more sources
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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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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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
openaire +2 more sources