Detection of ocean internal waves based on Faster R-CNN in SAR images

Sude BAO; Junmin MENG; Lina SUN; Yongxin LIU

doi:10.1007/s00343-019-9028-6

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Detection of ocean internal waves based on Faster R-CNN in SAR images

Physics | Updated：2023-04-27

- Detection of ocean internal waves based on Faster R-CNN in SAR images
- Journal of Oceanology and Limnology Vol. 38, Issue 1, Pages: 55-63(2020)
- Affiliations：
  
  1.Inner Mongolia University, Hohhot 010021, China
  2.First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, China
- Author bio：
  
  MENG Junmin, mengjm@fio.org.cn
- Funds：
- DOI：10.1007/s00343-019-9028-6
  CLC：
- Received：19 February 2019，
  
  Accepted：08 April 2019，
  
  Online First：26 April 2019，
  
  Published：2020-01
- Accepted：
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Sude BAO, Junmin MENG, Lina SUN, et al. Detection of ocean internal waves based on Faster R-CNN in SAR images[J]. Journal of Oceanology and Limnology, 2020, 38(1): 55-63.
DOI：

Sude BAO, Junmin MENG, Lina SUN, et al. Detection of ocean internal waves based on Faster R-CNN in SAR images[J]. Journal of Oceanology and Limnology, 2020, 38(1): 55-63. DOI： 10.1007/s00343-019-9028-6.

摘要

Abstract

Ocean internal waves appear as irregular bright and dark stripes on synthetic aperture radar (SAR) remote sensing images. Ocean internal waves detection in SAR images consequently constituted a difficult and popular research topic. In this paper

ocean internal waves are detected in SAR images by employing the faster regions with convolutional neural network features (Faster R-CNN) framework; for this purpose

888 internal wave samples are utilized to train the convolutional network and identify internal waves. The experimental results demonstrate a 94.78% recognition rate for internal waves

and the average detection speed is 0.22 s/image. In addition

the detection results of internal wave samples under different conditions are analyzed. This paper lays a foundation for detecting ocean internal waves using convolutional neural networks.

关键词

Keywords

references

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