{"title":"基于遥感影像数据分析的传统信息与乡村旅游融合发展分析","authors":"H. Liao","doi":"10.1109/ICSCDS53736.2022.9760873","DOIUrl":null,"url":null,"abstract":"Analysis on the integrated development of the traditional information and rural tourism based on remote sensing image data analysis is conducted in this paper. Texture reflects the spatial variation characteristics of pixel gray level, and is a pattern that is regularly arranged in the entire image or a certain area in the image. Using traditional methods for the remote sensing image feature extraction can not avoid the defect of large deviation of feature segmentation results caused by broken cloud clutter, hence, the wavelet analysis is combined. Further, the integrated development of traditional information and rural tourism is selected as the application scenario. Through different sets of the simulations, the efficiency is shown.","PeriodicalId":433549,"journal":{"name":"2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Analysis on the Integrated Development of Traditional Information and Rural Tourism based on Remote Sensing Image Data Analysis\",\"authors\":\"H. Liao\",\"doi\":\"10.1109/ICSCDS53736.2022.9760873\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Analysis on the integrated development of the traditional information and rural tourism based on remote sensing image data analysis is conducted in this paper. Texture reflects the spatial variation characteristics of pixel gray level, and is a pattern that is regularly arranged in the entire image or a certain area in the image. Using traditional methods for the remote sensing image feature extraction can not avoid the defect of large deviation of feature segmentation results caused by broken cloud clutter, hence, the wavelet analysis is combined. Further, the integrated development of traditional information and rural tourism is selected as the application scenario. Through different sets of the simulations, the efficiency is shown.\",\"PeriodicalId\":433549,\"journal\":{\"name\":\"2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS)\",\"volume\":\"81 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-04-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSCDS53736.2022.9760873\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSCDS53736.2022.9760873","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Analysis on the Integrated Development of Traditional Information and Rural Tourism based on Remote Sensing Image Data Analysis
Analysis on the integrated development of the traditional information and rural tourism based on remote sensing image data analysis is conducted in this paper. Texture reflects the spatial variation characteristics of pixel gray level, and is a pattern that is regularly arranged in the entire image or a certain area in the image. Using traditional methods for the remote sensing image feature extraction can not avoid the defect of large deviation of feature segmentation results caused by broken cloud clutter, hence, the wavelet analysis is combined. Further, the integrated development of traditional information and rural tourism is selected as the application scenario. Through different sets of the simulations, the efficiency is shown.