{"title":"在地理数据库中存储图像数据的数据结构","authors":"John J. Crowe","doi":"10.1145/503643.503652","DOIUrl":null,"url":null,"abstract":"A myriad of contemporary studies on geographically based image data. Such data include contour maps, LANDSAT data and aerial photographs. The amount of data generated by these sources is enormous. Therefore substantial savings can be realized by optimizing storage structures for this data.This paper examines types of geographically based image data and proposes storage structures for the data. Factors included in selecting appropriate structures are density of positive-valued pixels in the image and range of values a pixel may possess.The paper further discusses the applications of those structures in a geographic image database.","PeriodicalId":166583,"journal":{"name":"Proceedings of the 16th annual Southeast regional conference","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1978-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Data structures for storing image data in a geographic data base\",\"authors\":\"John J. Crowe\",\"doi\":\"10.1145/503643.503652\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A myriad of contemporary studies on geographically based image data. Such data include contour maps, LANDSAT data and aerial photographs. The amount of data generated by these sources is enormous. Therefore substantial savings can be realized by optimizing storage structures for this data.This paper examines types of geographically based image data and proposes storage structures for the data. Factors included in selecting appropriate structures are density of positive-valued pixels in the image and range of values a pixel may possess.The paper further discusses the applications of those structures in a geographic image database.\",\"PeriodicalId\":166583,\"journal\":{\"name\":\"Proceedings of the 16th annual Southeast regional conference\",\"volume\":\"28 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1978-04-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 16th annual Southeast regional conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/503643.503652\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 16th annual Southeast regional conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/503643.503652","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Data structures for storing image data in a geographic data base
A myriad of contemporary studies on geographically based image data. Such data include contour maps, LANDSAT data and aerial photographs. The amount of data generated by these sources is enormous. Therefore substantial savings can be realized by optimizing storage structures for this data.This paper examines types of geographically based image data and proposes storage structures for the data. Factors included in selecting appropriate structures are density of positive-valued pixels in the image and range of values a pixel may possess.The paper further discusses the applications of those structures in a geographic image database.
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