A Method for Generating Intelligent Message Products Based on Intelligent Interpretation

Yang Liu

doi:10.54097/a1jc9f05

Authors

Yang Liu

DOI:

https://doi.org/10.54097/a1jc9f05

Keywords:

Intelligent interpretation, Knowledge graph, Decision tree, Intelligent message.

Abstract

This article proposes a method for generating intelligent message products based on data intelligent interpretation, including pre-configured module, data analysis modules, message modules, and formatted modules. Firstly, utilizing remote sensing data intelligent interpretation algorithms to extract scene elements. Secondly, complete message statement generation by generating decision trees. Finally, example applications have shown that proposed method can solve the problems of complex processes, high labor costs, and low system timeliness in the production process of standard message products, achieve product production automation, and improve data application efficiency.

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