Self-adaptive waveform re-tracking algorithm based on main wave crest

Abstract

The invention relates to the technical field of satellite altimetry data processing, in particular to a self-adaptive waveform re-tracking algorithm based on a main wave crest, which is called AMWRT algorithm for short, and comprises the steps of extracting the main wave crest, performing waveform re-tracking on the main wave crest, judging the priority of an IMP value and the like. According to the algorithm, the complete waveform of the main wave crest is extracted, and then waveform re-tracking is performed on the main wave crest by using four different algorithms, so that the accurate waveform rising front edge midpoint position under the corresponding algorithm is obtained, and the difficulty that the front edge midpoint position of the complex waveform of the inland water body is difficult to accurately find in the previous waveform re-tracking algorithm is effectively solved; and finally, IMP values under four different threshold levels are calculated by using the front edge position, and the four IMP values are compared to determine the maximum IMP value as the result of the AMWRT algorithm. Compared with an existing waveform re-tracking algorithm, the algorithm has the advantages of higher satellite altimetry data processing precision, wider application range in inland waters and the like.

Description

technical field [0001] The invention relates to the technical field of satellite altimetry data processing, in particular to an adaptive waveform re-tracking algorithm based on main wave peaks. Background technique [0002] Water level is not only an important parameter for water resources management and disaster early warning, but also an intuitive indicator reflecting the water regime. At present, due to the large number of inland rivers with different shapes and sizes, the distribution of existing hydrological stations is difficult to cover in all directions, and the degree of sharing of water level monitoring data is low. These factors make it difficult to obtain more accurate water level by traditional water level monitoring methods. Monitoring data. Compared with traditional water level monitoring methods, satellite altimetry technology has the advantages of rapid, large-scale, and periodic detection of water level changes, especially for areas without data, which can...

AI Technical Summary

Problems solved by technology

Because this algorithm not only solves the difficulty of finding the midpoint of the front edge of the complex waveform of inland water accurately in the previous waveform re-tracking algorithm, but also compares the results of four different threshold algorithms before deciding on this algorithm. As a result, this algorithm has a higher processing accuracy for satellite altimetry data in inland waters, and can be widely used in various inland waters without being affected and restricted by different waters such as lakes, rivers, and offshore waters, effectively solving the problem of above question

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