Extreme air temperature semantic inverse distance weight interpolation method
A technology of inverse distance weighting and interpolation method, applied in climate sustainability, geographic information database, special data processing applications, etc., can solve the problem of not considering the geographic semantics of interpolation sample points, and achieve the effect of high practical value and easy implementation.
Active Publication Date: 2020-04-21
ANHUI AGRICULTURAL UNIVERSITY
View PDF2 Cites 3 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
[0004] The purpose of the present invention is to provide an extreme temperature semantic inverse distance weight interpolation method to solve the problem that the traditional spatial interpolation method does not consider the geographical semantics of the interpolation sample points in the actual application proposed in the background technology
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0044] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.
[0045] see Figure 1-3 , the present invention provides a technical solution: an extreme temperature semantic inverse distance weight interpolation method, including introducing geographical semantic similarity into the formula of the traditional inverse distance weight interpolation method, and adjusting the weight coefficient, characterized in that the interpolation process comprehensively considers The geographical semantic difference between the sample point an...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More PUM
Login to View More Abstract
The invention discloses an extreme air temperature semantic inverse distance weight interpolation method in the technical field of geospatial data processing. The method includes: firstly, preprocessing remote sensing surface temperature data; secondly, constructing a semantic hierarchy participating in surface and land utilization classification, calculating surface semantic similarity, adjustingfactor weight by utilizing the semantic similarity, embedding the weight into an inverse distance spatial interpolation model, and finally, taking surface temperature data as an example to complete spatial interpolation estimation and construct a surface temperature interpolation data set. According to the invention, the geographic hierarchical semantic similarity is fully utilized; the weight ofan interpolation factor is adjusted, a traditional inverse distance interpolation method is improved, no auxiliary data is needed except extreme air temperature data, and the method is easy to implement, high in practical value and capable of being used for business operation of related data such as surface temperature, vegetation coverage and soil humidity data which are prone to data error lossin continuous scenes.
Description
technical field [0001] The invention relates to the technical field of geospatial data processing, in particular to an extreme air temperature semantic inverse distance weight interpolation method. Background technique [0002] One of the implications of spatial dependence is that it is possible to obtain a relatively accurate description of the Earth's surface using some well-located samples. The best estimate of the average condition of a region is to conduct sampling observations, such as exploring the change of extreme surface temperature in the region, hoping to ensure that each location in the region has an equal opportunity to be sampled, but in practical applications, the observation sampling points are sparse, And non-random distribution, such as the position of the sample point is systematic and gently changing, most of the current meteorological models are obtained by sampling at observation stations. Spatial interpolation methods are often used to convert discre...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More Application Information
Patent Timeline
Login to View More Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/29
CPCG06F16/29Y02A90/10
Inventor 李军利甘瑞杰吴文君张洁曹秀渠鸿娇
Owner ANHUI AGRICULTURAL UNIVERSITY