{"title":"自动天气图提取气候资料的抢救与数字化","authors":"Anita S. Diwakar, D. K. Nayak, P. Talwai","doi":"10.1109/IACSIT-SC.2009.27","DOIUrl":null,"url":null,"abstract":"Data Rescue is the ongoing process of preserving alldata at risk of being lost due to deterioration of the medium and digitizing current and past data into computer compatible form for easy access. IMD has conscientiously taken observations of the weather, recorded them either manually or automatically, transcribed them onto preset paper forms called autographic charts. Most of the charts are now at risk of being lost due to rapid deterioration of the medium. This paper presents algorithms for automatic extraction and storage of the atmospheric data using image processing tools. The key factors that influence the methods are speed, accuracy and space. Wehave tested the algorithms on scanned images of theautographic charts available at IMD and present the results.","PeriodicalId":286158,"journal":{"name":"2009 International Association of Computer Science and Information Technology - Spring Conference","volume":"468 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Rescue and Digitization of Climate Data by Extraction from Autographic Weather Charts\",\"authors\":\"Anita S. Diwakar, D. K. Nayak, P. Talwai\",\"doi\":\"10.1109/IACSIT-SC.2009.27\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Data Rescue is the ongoing process of preserving alldata at risk of being lost due to deterioration of the medium and digitizing current and past data into computer compatible form for easy access. IMD has conscientiously taken observations of the weather, recorded them either manually or automatically, transcribed them onto preset paper forms called autographic charts. Most of the charts are now at risk of being lost due to rapid deterioration of the medium. This paper presents algorithms for automatic extraction and storage of the atmospheric data using image processing tools. The key factors that influence the methods are speed, accuracy and space. Wehave tested the algorithms on scanned images of theautographic charts available at IMD and present the results.\",\"PeriodicalId\":286158,\"journal\":{\"name\":\"2009 International Association of Computer Science and Information Technology - Spring Conference\",\"volume\":\"468 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-04-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 International Association of Computer Science and Information Technology - Spring Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IACSIT-SC.2009.27\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Association of Computer Science and Information Technology - Spring Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IACSIT-SC.2009.27","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Rescue and Digitization of Climate Data by Extraction from Autographic Weather Charts
Data Rescue is the ongoing process of preserving alldata at risk of being lost due to deterioration of the medium and digitizing current and past data into computer compatible form for easy access. IMD has conscientiously taken observations of the weather, recorded them either manually or automatically, transcribed them onto preset paper forms called autographic charts. Most of the charts are now at risk of being lost due to rapid deterioration of the medium. This paper presents algorithms for automatic extraction and storage of the atmospheric data using image processing tools. The key factors that influence the methods are speed, accuracy and space. Wehave tested the algorithms on scanned images of theautographic charts available at IMD and present the results.