Sea surface current information extraction method based on X-band radar image and particle swarm optimization
A particle swarm optimization, radar image technology, applied in the reflection/re-radiation of radio waves, radio wave measurement systems, and the use of re-radiation, etc., can solve problems such as affecting estimation accuracy, and achieve the effect of improving accuracy and reducing possibility
Active Publication Date: 2013-08-28
哈尔滨哈船导航技术有限公司
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[0005] The method of the present invention aims at the sea surface current estimation method based on the least squares strategy in the prior art, and there is a problem that the estimation accuracy is affected due to the fixed evaluation strategy, and a sea surface flow information extraction based on X-band radar images and particle swarm optimization is proposed method
The method of the invention uses the particle swarm optimization method instead of the least squares strategy to estimate the sea surface current, adopts a flexible fitness function form, effectively solves the problem that the estimation accuracy is affected by the fixed evaluation strategy in the traditional method, and improves the sea current information. In addition, due to the global optimization ability of the particle swarm optimization algorithm, the possibility of falling into a local optimum in the process of ocean current inversion is greatly reduced
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[0086] The radar image data used in this experiment is the sea surface echo radar image collected on Haitan Island, Pingtan County, Fujian Province on October 23, 2010. The average water depth of the radar imaging area is about 28 meters, and the maximum wave velocity is about 1.5m / s, the wind direction in the imaging area is mainly southwest wind and northeast wind. The 32 radar images obtained continuously are selected as the time series of radar images required for data processing. The radar erection height is 40m, the image coverage radius is about 2km, the average rotation speed of the antenna is 27 rpm, that is, the rotation period is about 2.25s, and the total time length is 72 seconds. For each image in the radar image sequence, because the wave distribution is not uniform due to the influence of the terrain near the shore, after analyzing the effective echo area of the radar image, a relatively ideal sea area is selected in the 75° direction to select a rectangular ...
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The invention provides a sea surface current information extraction method based on an X-band radar image and particle swarm optimization, belonging to the technical field of sea wave parameter inversion. The method firstly initializes the parameters such as, positions and speed of the particles and the like, and provides a ship speed initialization method and an flow estimating initialization method to determine initial positions of the particles; and then, takes the initial positions as optimal positions where the particles pass by, based on calculating the value of the fitness function of each particle, selects the position of a particle with a minimum value as the current optimal position of a swarm; and then, updates the speed and the positions of the particles in the next generation, and calculates the values of the fitness function of the updated positions, and updates the optimal position of each particle and the optimal position of the swarm according to the values of the fitness function of the updated positions, performs constant iteration and stops the constant iteration until reaching a stop condition. By adopting the method, the accuracy of sea wave information estimation can be improved, and the possibility of being trapped in a local optimum in sea wave inversion process can be greatly reduced.
Description
technical field [0001] The invention belongs to the technical field of sea wave parameter inversion, and in particular relates to a method for extracting sea surface current information based on X-band radar images and particle swarm optimization. Background technique [0002] Sea surface currents, also known as ocean currents, are large-scale relatively stable flows of seawater formed under the influence of internal changes and various external forces. With the development of science and technology, the existing technology can already use ocean currents to select routes, generate electricity and fish. Ocean currents have a profound influence and restriction on various geological processes, physical processes, chemical processes, and the formation and change of climate and weather over the ocean. There's important meaning. [0003] In 1985, Yong et al. proposed to use the least squares (LSM) iterative approximation method to estimate ocean current parameters. The main idea...
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IPC IPC(8): G01S7/41G01S13/89
Inventor 刘利强戴运桃范志超张丽娜
Owner 哈尔滨哈船导航技术有限公司