The Improved Mathematical Model for Interpretation of Satellite Imagery

2021 IEEE 8th International Conference on Problems of Infocommunications, Science and Technology (PIC S&T) Pub Date : 2021-10-05 DOI:10.1109/PICST54195.2021.9772162

H. Khudov, I. Khizhnyak, D. Misiuk, N. Shamrai, V. Chepurnyi, Igor Ruban, O. Makoveichuk, Vladyslav Khudov, I. Butko

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引用次数: 1

Abstract

The paper proposes the mathematical model for interpretation of satellite imagery. The groups of existing models for interpreting the results of remote sensing of Earth, their advantages and disadvantages were analyzed. The model for interpretation of satellite imagery is formulated in overall form. It presented as an action of next operators: the operator of coordinate transformations, operators of image clustering and operators of zoning according to selected criterion. These operators are considered in detail. Thus, the mathematical model for interpretation of satellite imagery is proposed, which carries out the reverse transformation of coordinates of imagery into cartographic coordinates and the clustering of the image into separate classes according to color and texture. Also, this model takes into account geographic zoning, which provides the possibility of advanced analysis and forecasting of temporal dynamics of data in geospatial information processing systems.

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卫星图像解译的改进数学模型

本文提出了卫星图像解译的数学模型。分析了现有的几种地球遥感结果解译模型及其优缺点。卫星图像的解译模型是整体形式的。它表现为下一个算子的动作:坐标变换算子、图像聚类算子和根据选定标准进行分区算子。详细讨论了这些操作符。在此基础上，提出了卫星图像解译的数学模型，将图像坐标反向变换为地图坐标，并根据颜色和纹理将图像聚类为不同的类。此外，该模型考虑了地理区划，这为地理空间信息处理系统中数据的时间动态提供了高级分析和预测的可能性。

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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2021 IEEE 8th International Conference on Problems of Infocommunications, Science and Technology (PIC S&T)

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