Validating GEV Model for Reflection Symmetry-Based Ocean Ship Detection with Gaofen-3 Dual-Polarimetric Data

Guo, Rui; Cui, J. X.; Guobin, Jing; Zhang, Shuangxi; Xing, Mengdao

doi:10.3390/rs12071148

Cited by 6 publications

(2 citation statements)

References 36 publications

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“…Wang et al [3] used a various patch-based contrast method to achieve fast ship detection. Guo et al [4] proposed an improved CFAR detector via generalized extreme value and reflection symmetry metric. Lin et al [5] used a superpixel-level fisher vector to distinguish the ship object and background.…”

Section: Introductionmentioning

confidence: 99%

H2Det: A High-Speed and High-Accurate Ship Detector in SAR Images

Zhu¹,

Hu²,

Zhou³

et al. 2021

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Synthetic aperture radar (SAR) sensor is a vital platform for ship detection whose accuracy and speed are usually difficult to balance. An urgent problem to be solved is how to achieve high-speed detection while maintaining high-accurate. To address this problem, we propose a high-speed and high-accurate detector (H2Det) in SAR images. For one thing, we adopt fewer convolutional layers, CSP module and rectangle filling to ensure model high-speed. For another, we propose spatial pyramid pooling (SPP), bottom-up path augmentation (PA), and mosaic data augmentation to ensure model high-accurate. To establish an optimal H2Det, we conduct comparative studies on SSDD dataset. Moreover, we verify the effectiveness of these modules mentioned above through ablation studies. The experimental results on SAR ship detection dataset (SSDD) demonstrate that both accuracy and speed of the proposed method outperform other state-of-the-art methods and references. In addition, the strong migration ability of the proposed H2Det is shown on high-resolution SAR images dataset (HRSID).

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Section: Introductionmentioning

confidence: 99%

H2Det: A High-Speed and High-Accurate Ship Detector in SAR Images

Zhu¹,

Hu²,

Zhou³

et al. 2021

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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“…The ability to detect a search object depends on the characteristics of the systems used by the rescuers and the search object signatures in the visible, thermal and radar ranges. The modern SAR systems use the advanced methods of detection in radar ranges [3][4][5][6] and infrared thermal ranges [7].…”

Section: Introductionmentioning

confidence: 99%

The Impact of the Improved Search Object Detection on the SAR Action Success Probability in Maritime Transport

Burciu

Abramowicz-Gerigk

Przybył

et al. 2020

Sensors

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This paper presents the investigations on the improvement of search object detection during search and rescue (SAR) action at sea using thermal imaging and radar sensors. The introduction of new materials in the construction of lifesaving appliances increasing their detectability has been studied for the selected example of a pneumatic life raft. The research was based on laboratory tests and open sea trials. The presented experimental investigations on the new materials that can be used for pneumatic life raft construction showed the enhancement of its thermal and radar signatures, which directly affect life raft detectability and influence reliability of SAR action and probability of success (POS). The improved detectability of a life raft related to the time to survive of a person in the water (PIW) allowed to present the modified search pattern for both PIW and life raft, significantly increasing POS.

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