A tool for SARAL/AltiKa waveform clustering

Surajit Dutta, Suvajit Ghosh, Praveen Kumar Thakur


This article describes a classification tool to cluster the SARAL/AltiKa waveforms. The tool was made by a Python script. Radar altimetry systems (e.g., SARAL/AltiKa) determine the distance from the satellite to a target surface by measuring the satellite-to-surface round-trip time of a radar pulse. An altimeter waveform represents the energy reflected by the earth’s surface to the satellite antenna with respect to time. This tool clusters the altimetric waveforms data into desired groups. For the clustering, we used evolutionary minimise indexing function (EMIF) with k-means cluster mechanism. The idea is to develop a simple interface which takes the altimetry waveforms data from a folder as inputs and provides single value (using EMIF algorithm) for each waveform which will be further used for clustering. The tool is simple and easy to interact with the users, and it also takes very low disk space.


SARAL/AltiKa waveforms; evolutionary minimize indexing function (EMIF); python

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DOI: http://dx.doi.org/10.24294/jgc.v1i2.751


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