Gravity model-based oceanic front information extraction method
An information extraction and gravitational technology, applied in the information field, can solve the problems that the detection effect is easily affected by noise and small edges, the front information cannot be fully detected, and the original image is affected by the brightness and darkness, so as to suppress part of the relevant noise and small edges The effect of eliminating the influence of partly correlated noise and small edges, and the effect of eliminating the dependence of lightness and darkness
Inactive Publication Date: 2015-05-20
INST OF GEOGRAPHICAL SCI & NATURAL RESOURCE RES CAS
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[0007] At present, the extraction of ocean fronts is mostly disturbed by noise, and the information of ocean fronts is mostly weak information with low intensity. The detection effect is easily affected by noise and small edges.
On the one hand, when the positioning accuracy of frontal information is high, it is often accompanied by large noise interference; and when the noise is well suppressed, the frontal information is often not fully detected
Ocean front detection based on the law of universal gravitation is greatly affected by noise and small edges, and there is a problem with the calculation of gravity for pixels with a pixel value of 0, and is affected by the brightness of the original image
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[0027] The implementation process of the present invention will be described in detail below in conjunction with the drawings and embodiments.
[0028] Such as figure 1 As shown, the method of the present invention is implemented as follows: firstly select the ocean surface temperature data for the research area, carry out de-zero processing on the selected area, select a 3*3 neighborhood for each pixel, and normalize and sum the data in the area Data enhancement, for the enhanced data, use the gravitational formula to calculate the gravitational sum of the neighboring pixels to the central point pixel, and select the appropriate threshold to extract the front information.
[0029] The following data processing uses Matlab as the platform.
[0030] 1. Data preparation
[0031] Taking the monthly average sea surface temperature data of the Kuroshio area (which spans approximately 25°33′N-34°33′N, 121°5′E-143°33′E) in May 2007 and the Gulf of Mexico area (its The monthly aver...
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The invention discloses a gravity model-based oceanic front information extraction method, which belongs to the field of information technology and is mainly applied to the automatic extraction of the oceanic front. The gravity model based on the formula of universal gravitation is provided by the invention, and frontal detection is carried out based on the model. The method comprises the following steps of: firstly subjecting the selected sea surface temperature data to median filtering to remove relevant noise and thin edge, subjecting the filtered data to zero removal processing and normalization, using contrast ratio of the data obtained after function enhancement processing, calculating gravity sum of central pixels of 3*3 neighborhood pixel pairs by using the formula of universal gravitation, and selecting proper threshold to carry out image binaryzation to obtain the final oceanic front information. The method of the invention is simple and flexible, high in frontal positioning precision and is capable of reducing influences of noise on the frontal detection.
Description
technical field [0001] The invention relates to a method for extracting ocean front information, in particular to a method for extracting ocean front information based on a gravity model, and belongs to the field of information technology. Background technique [0002] The ocean front is a narrow transition zone between two or several types of water bodies with significantly different characteristics of ocean water masses, and has a major impact on national production, national defense, oceanography, and meteorology. Aerial remote sensing provides advanced technical means for ocean front information extraction. Currently, visible light remote sensing satellite data sources that can be used for ocean front information extraction mainly include low-resolution NOAA satellite AVHRR data and Seasat SeaWiFS data. [0003] Scholars at home and abroad have conducted long-term research on the detection of ocean fronts. The histogram method (Cayula & Cornillon, 1992, 1995) is to per...
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IPC IPC(8): G06T7/00
Inventor 杜云艳平博苏奋振周成虎
Owner INST OF GEOGRAPHICAL SCI & NATURAL RESOURCE RES CAS