Synthetic aperture radar sea ice drift detection method, system, device and application

Abstract

The invention belongs to the technical field of sea ice dynamic characteristic data processing, and discloses a synthetic aperture radar sea ice drift detection method, system, device and application,and the method comprises the steps of carrying out the resolution reduction of SAR data, and extracting an ice crack region in a low-resolution image; an ice crack area being usually of a long-stripcharacteristic and having high rotation non-deformation and high anti-noise capacity, using a PM method for carrying out first-time drift estimation on a low-resolution SAR image on a regular grid, and extracting the overall drift direction and speed of an ice area; and searching and matching regions in the original resolution SAR image by using the extracted principal direction constraint FT method to obtain a sea ice drift result. High-resolution sea ice drifting automatic detection is achieved from massive SAR data, and the invention meets an important demand for mastering polar region seaice dynamic properties and better understanding global climate changes at present. According to the invention, experimental verification is carried out on the dual-polarization Sentinel-1SAR image byusing the North Pole 3.

Description

technical field [0001] The invention belongs to the technical field of data processing of sea ice dynamic characteristics, in particular to a synthetic aperture radar sea ice drift detection method, system, equipment and application. Background technique [0002] At present: sea ice drift strongly affects the distribution of sea ice thickness in the polar regions, and further controls the energy flux interaction among ocean, atmosphere and sea ice. In addition, the process of polar sea ice drifting from high latitudes to low latitudes and finally melting is an important source of surface fresh water and plays an important role in the dynamics of the world's oceans. Therefore, estimating sea ice drift over a wide range of spatial and temporal scales can help to understand and describe sea ice dynamics, and also contribute to a better understanding of global climate change processes. Under the background of global climate change and shrinking sea ice extent, maritime shipping...

AI Technical Summary

Problems solved by technology

[0007] However, there are still the following problems in using high-resolution SAR to carry out sea ice drift: 1) First of all, at the method level, both PM and FT methods need to overcome noise, brightness and contrast changes caused by different incident angles, and the same The correct rate of name point matching and other issues

2) The current SAR data has the characteristics of large width and high resolution (for example, the resolution of Sentinel-1 IW mode is 5×20m, and the width is 250km; the extra finemode of RADARSAT-2 has a resolution of 5m, and the width is 125 km), the amount of data has increased significantly, and the calculation efficiency of the sea ice drift monitoring algorithm needs to be improved urgently

[0010] (2) The current SAR data has the characteristics of large width and high resolution, and the amount of data has increased significantly. The calculation efficiency of the sea ice drift monitoring algorithm needs to be improved urgently

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