{"title":"一种评估光学图像质量的信息方法","authors":"I. Zhurkin, N. K. Shaven'ko","doi":"10.1080/07493878.2001.10642183","DOIUrl":null,"url":null,"abstract":"A paper exploring various methods of assessing the quality of optical images (e.g., based on resolution), proposes that the optimal critierion is an informational one—image entropy, or the maximum possible quantity of information conveyed by an image per unit area. The authors support this assertion formally by presenting the corresponding expressions used in computing this criterion.","PeriodicalId":405012,"journal":{"name":"Mapping Sciences and Remote Sensing","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"AN INFORMATIONAL APPROACH TO ASSESSING THE QUALITY OF OPTICAL IMAGERY\",\"authors\":\"I. Zhurkin, N. K. Shaven'ko\",\"doi\":\"10.1080/07493878.2001.10642183\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A paper exploring various methods of assessing the quality of optical images (e.g., based on resolution), proposes that the optimal critierion is an informational one—image entropy, or the maximum possible quantity of information conveyed by an image per unit area. The authors support this assertion formally by presenting the corresponding expressions used in computing this criterion.\",\"PeriodicalId\":405012,\"journal\":{\"name\":\"Mapping Sciences and Remote Sensing\",\"volume\":\"30 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2001-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Mapping Sciences and Remote Sensing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/07493878.2001.10642183\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mapping Sciences and Remote Sensing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/07493878.2001.10642183","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
AN INFORMATIONAL APPROACH TO ASSESSING THE QUALITY OF OPTICAL IMAGERY
A paper exploring various methods of assessing the quality of optical images (e.g., based on resolution), proposes that the optimal critierion is an informational one—image entropy, or the maximum possible quantity of information conveyed by an image per unit area. The authors support this assertion formally by presenting the corresponding expressions used in computing this criterion.