Sea temperature and salinity field sampling method based on self-adaptive sampling rates
An adaptive sampling and sampling rate technology, applied in ocean energy power generation, data processing applications, special data processing applications, etc., can solve the consideration of the distribution characteristics of temperature and salt fields, without considering the local characteristics of temperature and salt field distribution, and the reconstruction accuracy of temperature and salt fields Not high-level problems, to achieve the effect of improving the reconstruction accuracy
Active Publication Date: 2017-03-08
HARBIN ENG UNIV
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Problems solved by technology
The above studies have not considered the local characteristics of the temperature and salt field distribution, the application of compressed sensing technology is still relatively basic, and the reconstruction accuracy of the temperature and salt field is not high
At present, there is no literature that considers the distribution characteristics of temperature and salinity fields into the sampling scheme for applying compressive sensing technology
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[0040] The present invention will be further described below with examples in conjunction with the accompanying drawings.
[0041] combine image 3 , the main components of the present invention include: 1. Block sampling area; 2. Carry out temperature and salt field gradient feature analysis on sensing block; 3. Calculate adaptive sampling rate in each sensing block; 4. Random sampling in sensing block; 5. .Using the reconstruction algorithm to reconstruct the distribution of temperature and salt field.
[0042] Combine below figure 1 The main steps of the ocean temperature and salt field sampling method based on adaptive sampling rate of the present invention are described:
[0043] Step 1. Block the sampling area
[0044]The sampling area is divided into perception blocks of the same size, and each perception block is divided into p parts at equal intervals along the longitude and latitude directions to form a p×p data grid, and the present invention takes p=16. Accordi...
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The invention provides a sea temperature and salinity field sampling method based on self-adaptive sampling rates. The method comprises the steps of 1, sampling region blocks; 2, carrying out temperature and salinity field gradient feature analysis on sending blocks; 3, calculating a self-adaptive sampling rate in each sensing block; 4, randomly sampling in the sensing blocks; and 5, reconstructing temperature and salinity field distribution through utilization of a reconstruction algorithm. According to the sampling method designed by the invention, under the condition that the sampling number in the sampling regions is the same, more sampling points are set in the more valuable sea areas, and the reconstruction precision of temperature and salinity fields is improved.
Description
technical field [0001] The invention relates to an ocean sampling method, in particular to an ocean temperature-salt field sampling method. Background technique [0002] The traditional sampling observation method of ocean temperature and salinity field usually adopts a single sampling rate. The method of single sampling rate can obtain better reconstruction effect under the condition of higher sampling rate. However, due to the limited energy carried by the sampling device, the sampling rate usually cannot take a higher value. In this case, how to minimize the estimation error of the marine environment field by using limited observation data while considering the constraints of limited sampling resources has become a key issue in the study of sampling methods. [0003] In the field of image processing, compressive sensing has related designs of adaptive sampling rate sampling methods, such as the "image sampling method based on adaptive sampling rate" disclosed in the pat...
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Login to View More IPC IPC(8): G06F19/00G06Q50/02
CPCG06Q50/02G16Z99/00Y02E10/30
Inventor 刘厂雷宇宁赵玉新高峰
Owner HARBIN ENG UNIV