基于机器学习的异质区域碳单元计算方法的开发

2023 IX International Conference on Information Technology and Nanotechnology (ITNT) Pub Date : 2023-04-17 DOI:10.1109/ITNT57377.2023.10139264

I. Vasendina, K. Shoshina, V. Berezovsky, R. Aleshko, R. Vorontsov, T. Desyatova

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摘要

本文描述了一种基于机器学习的异构区域碳单元计算方法。描述了区域的层次结构和多尺度图像的互联结构。为了更准确地计算土地碳储量，提出了一种地物识别和分类的方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Development of a methodology for calculating carbon units of heterogeneous territories based on machine learning

The paper describes a method for calculating carbon units of heterogeneous territories based on machine learning. The hierarchical structure of areal territories and the structure of the interconnection of multi-scale images are described. An approach is given to identify and classify terrain objects in order to more accurately calculate the carbon reserve of the territory.

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2023 IX International Conference on Information Technology and Nanotechnology (ITNT)

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