{"title":"基于辐射传输码的真实和模拟空间影像大气校正算法","authors":"Hongsuk H. Kim","doi":"10.1364/lors.1987.tuc8","DOIUrl":null,"url":null,"abstract":"An image processing algorithm which can be used not only to simulate satellite mulitispectral imagery but also to derive surface reflectance from satellite imagery is being developed. In essence, the algorithm is a pixel by pixel modelling of the atmospheric radiance which can be either added to a simulated ground scene or subtracted from space data.","PeriodicalId":339230,"journal":{"name":"Topical Meeting on Laser and Optical Remote Sensing: Instrumentation and Techniques","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1988-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Atmospheric Correction Algorithm of Real and Simulated Space Imagery Using Radiative Transfer Code\",\"authors\":\"Hongsuk H. Kim\",\"doi\":\"10.1364/lors.1987.tuc8\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An image processing algorithm which can be used not only to simulate satellite mulitispectral imagery but also to derive surface reflectance from satellite imagery is being developed. In essence, the algorithm is a pixel by pixel modelling of the atmospheric radiance which can be either added to a simulated ground scene or subtracted from space data.\",\"PeriodicalId\":339230,\"journal\":{\"name\":\"Topical Meeting on Laser and Optical Remote Sensing: Instrumentation and Techniques\",\"volume\":\"30 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1988-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Topical Meeting on Laser and Optical Remote Sensing: Instrumentation and Techniques\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1364/lors.1987.tuc8\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Topical Meeting on Laser and Optical Remote Sensing: Instrumentation and Techniques","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1364/lors.1987.tuc8","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Atmospheric Correction Algorithm of Real and Simulated Space Imagery Using Radiative Transfer Code
An image processing algorithm which can be used not only to simulate satellite mulitispectral imagery but also to derive surface reflectance from satellite imagery is being developed. In essence, the algorithm is a pixel by pixel modelling of the atmospheric radiance which can be either added to a simulated ground scene or subtracted from space data.