{"title":"基于空间信息估计的IKONOS图像改进","authors":"H. Ishida, M. Inamura","doi":"10.1109/IGARSS.2001.977987","DOIUrl":null,"url":null,"abstract":"Simple enlargement of high resolution images induces conspicuous ringing. This paper deals with the new improvement technique using neural networks (NN). This method uses a fractal feature of images, and its fractal dimension characterizes the limits of its abilities.","PeriodicalId":135740,"journal":{"name":"IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Improvement of IKONOS images with estimation of spatial information by neural networks\",\"authors\":\"H. Ishida, M. Inamura\",\"doi\":\"10.1109/IGARSS.2001.977987\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Simple enlargement of high resolution images induces conspicuous ringing. This paper deals with the new improvement technique using neural networks (NN). This method uses a fractal feature of images, and its fractal dimension characterizes the limits of its abilities.\",\"PeriodicalId\":135740,\"journal\":{\"name\":\"IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217)\",\"volume\":\"42 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2001-07-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IGARSS.2001.977987\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IGARSS.2001.977987","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Improvement of IKONOS images with estimation of spatial information by neural networks
Simple enlargement of high resolution images induces conspicuous ringing. This paper deals with the new improvement technique using neural networks (NN). This method uses a fractal feature of images, and its fractal dimension characterizes the limits of its abilities.