Classification-based high time definition and high space definition remote sensing data quantitative fusing method

Abstract

The invention provides a high time definition and high space definition remote sensing data quantitative fusing method, which is characterized in that: high time definition data is used for establishing function curve of land surface parameter time evolution, and high space definition data is used for restricting the space distribution characteristics of the parameters so as to obtain the land surface parameter of high time definition and high space definition; and the method has the advantages that: by adopting the high time definition data, the completeness of the data is not required, so the treatment of the noise elimination is unnecessary to insert before the fusion; when the high time definition data is increased, the time evolution function can be gradually optimized, the time evolution relation of the parameters can be well described when the data is less so as to realize the data fusion; the precise space position matching is not required before the fusion of the two categories of data; and when one category of the data is missed, the historic background data can be used for substituting the missed data. The method can be used for monitoring the growth of crops, and also can be used for fusing multiple categories of data and for filling the missing of the acquired data (such as the incomplete data caused by the shielding of cloud).

Description

technical field [0001] The invention belongs to the field of remote sensing digital image processing and quantitative data fusion. The present invention is a method for realizing the quantitative fusion of remote sensing data with high temporal resolution and high spatial resolution based on classification, especially a function curve of time evolution of surface parameters established by using high temporal resolution data, and using high spatial resolution data A method of constraining the spatial distribution characteristics of parameters to obtain surface parameters with high temporal resolution and high spatial resolution. The invention can be used in fields such as crop growth monitoring, and can also be used for fusion of various types of data to fill in the absence of historical data. Background technique [0002] The development of modern remote sensing technology enables humans to obtain remote sensing data with different characteristics from different remote sens...

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Problems solved by technology

[0005] The inadequacies of the above-mentioned quantitative remote sensing parameter fusion can be summarized as follows: (1) The assumption that the composition ratio based on pixel decomposition is constant within a certain time range is difficult to establish, because the evolution curves of different types of ground objects over time are different. (2) The assumption that the ratio of low spatial resolution data to high spatial resolution data is the same does not take into account the inconsistency of changes within the pixel; (3) All data with low spatial resolution and high temporal resolution are assumed to be quality Complete data, very few actual data meet this condition, it is difficult to use in the running system

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