{"title":"基于植被指数语义信息检测的多光谱图像处理工具PIMS","authors":"Cornelia Melenti, D. Safta, D. Gorgan","doi":"10.1109/SYNASC.2006.60","DOIUrl":null,"url":null,"abstract":"This paper approaches the opportunity of the use of medium and high spatial resolution satellite images for the study of the extent and structure of the vegetation cover for a certain geographic area. A computerized system for the classification of vegetation was created based on vegetation indices determined from various combinations of spectral bands from high resolution multispectral satellite images. The comparative study and analysis of vegetation indices in a given image, the acquirement of statistical data and their export to a database are reported","PeriodicalId":309740,"journal":{"name":"2006 Eighth International Symposium on Symbolic and Numeric Algorithms for Scientific Computing","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2006-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"PIMS--Multispectral Image Processing Tool for Semantic Information Detection Based on Vegetation Indices\",\"authors\":\"Cornelia Melenti, D. Safta, D. Gorgan\",\"doi\":\"10.1109/SYNASC.2006.60\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper approaches the opportunity of the use of medium and high spatial resolution satellite images for the study of the extent and structure of the vegetation cover for a certain geographic area. A computerized system for the classification of vegetation was created based on vegetation indices determined from various combinations of spectral bands from high resolution multispectral satellite images. The comparative study and analysis of vegetation indices in a given image, the acquirement of statistical data and their export to a database are reported\",\"PeriodicalId\":309740,\"journal\":{\"name\":\"2006 Eighth International Symposium on Symbolic and Numeric Algorithms for Scientific Computing\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-09-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2006 Eighth International Symposium on Symbolic and Numeric Algorithms for Scientific Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SYNASC.2006.60\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 Eighth International Symposium on Symbolic and Numeric Algorithms for Scientific Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SYNASC.2006.60","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
PIMS--Multispectral Image Processing Tool for Semantic Information Detection Based on Vegetation Indices
This paper approaches the opportunity of the use of medium and high spatial resolution satellite images for the study of the extent and structure of the vegetation cover for a certain geographic area. A computerized system for the classification of vegetation was created based on vegetation indices determined from various combinations of spectral bands from high resolution multispectral satellite images. The comparative study and analysis of vegetation indices in a given image, the acquirement of statistical data and their export to a database are reported
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