scholarly journals SAR Satellite On-Board Ship, Wind, and Sea State Detection

Author(s):  
Stefan Wiehle ◽  
Dominik Gunzel ◽  
Bjorn Tings
Keyword(s):  
2013 ◽  
Vol 316-317 ◽  
pp. 475-478
Author(s):  
Jian Hua Wang ◽  
Gang Li ◽  
Ya Zhou Xiong ◽  
Kang Ke Liu

Autonomous surface vehicle provides a safe approach to monitor environment on water surface in dangerous condition. This paper presents a method of sea state detection from images taken by a camera fixed on an autonomous surface vehicle. Based on texture feature of images from water surface scene, gray level co-occurrence matrix is computed, and its features including energy, contrast, correlation and entropy are extracted. Experiments show that the contrast can differentiate the sea state levels better than the others. To improve discrimination at low sea state levels, a transform is proposed. Performance of the method at different light shining conditions is discussed, and the results validate the method.


2016 ◽  
Vol 13 (3) ◽  
pp. 389-393 ◽  
Author(s):  
Xiao Cui ◽  
Wanlin Gong ◽  
Xiaoqing Ye ◽  
Lingyun Pan ◽  
Yanping Chen

Author(s):  
Н. Г. Крылова ◽  
Г. В. Грушевская ◽  
И. В. Липневич ◽  
Т. И. Ореховская ◽  
Г. Н. Семенкова ◽  
...  

1998 ◽  
Author(s):  
Mark Hyman ◽  
Iskender Sahin ◽  
Thai Nguyen
Keyword(s):  

1984 ◽  
Author(s):  
Sakaye Matsuda ◽  
Howard C. Schafer
Keyword(s):  

2021 ◽  
Vol 13 (5) ◽  
pp. 986
Author(s):  
Yao Chen ◽  
Mo Huang ◽  
Yuanyuan Zhang ◽  
Changyuan Wang ◽  
Tao Duan

The spaceborne interferometric synthetic aperture radar (InSAR) is expected to measure the sea surface height (SSH) with high accuracy over a wide swath. Since centimeter-level accuracy is required to monitor the ocean sub-mesoscale dynamics, the high accuracy implies that the altimetric errors should be totally understood and strictly controlled. However, for the dynamic waves, they move randomly all the time, and this will lead to significant altimetric errors. This study proposes an analytical method for the dynamic wave-related errors of InSAR SSH measurement based on the wave spectrum and electromagnetic scattering model. Additionally, the mechanisms of the dynamic wave-related errors of InSAR altimetry are analyzed, and the detailed numerical model is derived. The proposed analytical method is validated with NASA’s Surface Water and Ocean Topography (SWOT) project error budget, and the Root-Mean-Square Errors (RMSEs) are in good agreement (0.2486 and 0.2470 cm on a 0.5 km2 grid, respectively). Instead of analysis for a typical project, the proposed method can be applied to different radar parameters under multiple sea states. The RMSEs of Ka-band under low sea state, moderate sea state, and high sea state are 0.2670, 1.3154, and 6.6361 cm, respectively. Moreover, the RMSEs of X-band and Ku-band are also simulated and presented. The experimental results demonstrate that the dynamic wave-related errors of InSAR altimetry are not sensitive to the frequencies but are sensitive to the sea states. The error compensation method is necessary for moderate and higher sea states for centimetric accuracy requirements. This can provide feasible suggestions on system design and error budget for the future interferometric wide-swath altimeter.


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