Results 21 to 30 of about 25,422 (265)

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 method for detecting abnormal behavior of ships based on multi-dimensional density distance and an abnormal isolation mechanism

Mathematical Biosciences and Engineering, 2023
Abnormal ship behavior detection is essential for maritime navigation safety. Most existing abnormal ship behavior detection methods only build A ship trajectory position outlier detection model; however, the construction of a ship speed outlier ...
Lixiang Zhang, Yian Zhu, Jie Ren , Wei Lu, Ye Yao   +4 more
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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, Zhi Li, Xuewei Li, Canbin Yin, Zengkai Shi   +4 more
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Review of plant disease image recognition algorithms based on deep learning

Dianzi Jishu Yingyong
Plant 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, Zhu Bowei, Zhang Yanmin, Xu Yidong   +3 more
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Improved YOLOv3 Based on Attention Mechanism for Fast and Accurate Ship Detection in Optical Remote Sensing Images

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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DAShip: A Large-Scale Annotated Dataset for Ship Detection Using Distributed Acoustic Sensing Technique

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Ship 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, Shaoyi Chen, Yichang Wu, Ruihua Li, Tianrui Li, Yihua Huang, Xiaochun Cao, Zhaohui Li   +7 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, Dongping Zhang, Zhengning Zhang, Zhiyong Feng   +3 more
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SDFSD-v1.0: A Sub-Meter SAR Dataset for Fine-Grained Ship Detection

Remote Sensing
In 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, Bingxin Liu, Peilin Wang, Peng Liu, Yu Yuan, Xinhao Li, Peng Chen, Ying Li   +7 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, Guida, Raffaella, Amitrano, Donato, Marino, Armando   +3 more
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2D CNN‐based multi‐feature fusion detection method for the magnetic anomaly generated by submarine wake

Journal of Ocean Engineering and Science
A 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, Xiaofeng Liang, Chao Zuo, Zuoshuai Wang   +3 more
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