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Ship Detection in Satellite Optical Imagery
2020 3rd Artificial Intelligence and Cloud Computing Conference, 2020Deep learning ship detection in satellite optical imagery suffers from false positive occurrences with clouds, landmasses, and man-made objects that interfere with correct classification of ships, typically limiting class accuracy scores to 88%. This work explores the tensions between customization strategies, class accuracy rates, training times, and ...
Benjamin Smith +2 more
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Ship Detection with Sar Based on Yolo
IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, 2020Synthetic aperture radar (SAR) allows all-weather, day and night surveillance. Thus, it is of great significance for the ship detection and recognition. Because of the SAR special imaging mechanism, it is very difficult to extract the ship features with SAR image for the traditional target detection algorithm.
Shaobin Jiang +5 more
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2012 IEEE International Geoscience and Remote Sensing Symposium, 2012
In this paper, a new method is proposed for ship detection based on generalized optimization of polarimetric contrast enhancement (GOPCE). Since the scattering coefficients of a sea area vary with local incident angle, pixels at different incident angles should be processed differently.
Jian Yang 0011, Wei Gao
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In this paper, a new method is proposed for ship detection based on generalized optimization of polarimetric contrast enhancement (GOPCE). Since the scattering coefficients of a sea area vary with local incident angle, pixels at different incident angles should be processed differently.
Jian Yang 0011, Wei Gao
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Ship infrared detection/vulnerability [PDF]
SPIE Proceedings, 1993 The IR contrast of ships at sea is of importance for those who want to detect or identify the ship and for those who worry about this. This IR contrast is determined by a large number of parameters. Of course temperatures of the ship's structure and those of the ambient sea and air are important, but also important are the reflection properties of the ...
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A Review on Object Detection Algorithms for Ship Detection
2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS), 2021Object recognition joins computer vision technique for spotting and tracking down objects in images and videos. This paper enlightens object recognition algorithms that are currently available. The algorithms analyzed include Multi-Input Convolutional Long Short Term Memory (Multi-Input convLSTM) and Rotational Libra Region Based Convolutional Neural ...
Safa Mohammed Sali +3 more
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Ship detection in RADARSAT SAR imagery
SMC'98 Conference Proceedings. 1998 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.98CH36218), 2002An automatic detection model for ship targets in RADARSAT SAR images is being developed by using statistical methods, Radon transform and other image processing techniques. This paper presents current progress made on the detection model.
Qingshan Jiang +6 more
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Ship Detection with Wireless Sensor Networks
IEEE Transactions on Parallel and Distributed Systems, 2012Surveillance is a critical problem for harbor protection, border control or the security of commercial facilities. The effective protection of vast near-coast sea surfaces and busy harbor areas from intrusions of unauthorized marine vessels, such as pirates smugglers or, illegal fishermen is particularly challenging.
Hanjiang Luo +4 more
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CWLFM Radar for Ship Detection and Identification
IEEE Aerospace and Electronic Systems Magazine, 200726
Carmona Duarte, Cristina +3 more
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Ship wake detection by Raman lidar
Applied Optics, 2010We carried out a remote study of ship wakes by optical methods. Both Mie and Raman scattering signals and their evolution were simultaneously recorded by gated detector (intensified CCD). The Mie scattering signal was detectable within 1 min after water disturbance by a high-speed boat.
Alexey F, Bunkin +3 more
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The ship detection capability of ENVISAT's ASAR
IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477), 2004Norway has used spaceborne SAR systems for operational fisheries monitoring since 1998. RADARSAT-1 has been the main source of data. With ENVISAT, there are plans to increase usage of satellite data. First, however, it is important to verify which modes and products are most useful for operational purposes.
Richard B. Olsen, T. Wahl
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