SAMPLING METHOD ANALYSIS AND QUALITY EVALUATION STRATEGY FOR REMOTE SENSING BIG DATA

Dang, Y.; Zhang, J. X.; Zhang, P. C.; Luo, F. J.; Bai, J.

Under the background of the increasingly unified management of natural resources, remote sensing big-data will become the main data source to support a number of major projects. How to sample the natural resources results efficiently and reliably in the process of quality evaluation is always a research hotspot when it comes to the natural resources results involving remote sensing big-data. A sequential quality evaluation model based on root mean square error (RMSprop) optimization algorithm is constructed by theoretical analysis with an numerical experiments to validate the effectiveness of this method.

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Dang, Y. / Zhang, J. X. / Zhang, P. C. / et al: SAMPLING METHOD ANALYSIS AND QUALITY EVALUATION STRATEGY FOR REMOTE SENSING BIG DATA. 2020. Copernicus Publications.

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