基于多波段遥感影像时间序列预测的智慧旅游经济发展支撑系统——江苏泰州

Xiao-Ying Yao
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引用次数: 0

摘要

提出了一种用于遥感数据二维周期介质的半空间理论模型。由于二维周期介质中电磁场的特征向量不局限于入射场的极化方向,因此可以考虑同极化和交叉极化的散射。本文从智慧旅游的概念、核心技术、应用、评价、对策等方面综述了国内外的研究现状。结合我国和江苏泰州智慧旅游的发展特点,借鉴智慧旅游专家和从业者的指导,建立包括三个层次的评价指标体系,分别包括一个细分指标。基于CD-KMeans的时序遥感影像旅游经济聚类结果表明,总体分类精度为90.84%,Kappa系数为0.88。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi-Band Remote Sensing Image Time Series Analysis to Predict Smart Tourism Economic Development Support System: Taizhou, Jiangsu
A half-space theoretical model of two-dimensional periodic medium for remote sensing data is proposed. Since the eigenvectors of electromagnetic fields in two-dimensional periodic medium are not limited to the polarization direction of the incident field, the scattering of the same polarization and cross polarization can be considered. This paper summarizes the current research status at home and abroad from the perspectives of smart tourism concept, core technology, application, evaluation, and countermeasures. Combined with the development characteristics of smart tourism in my country and Taizhou, Jiangsu, and drawing on the guidance of experts and practitioners in smart tourism, the establishment includes three The three-level evaluation index system includes a subdivision index respectively. Based on the tourism economic clustering results of time series remote sensing images based on CD-KMeans, the overall classification accuracy is 90.84%, and the Kappa coefficient is 0.88.
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