{"title":"北京一号小卫星图像质量提升","authors":"Qiong Ran, Yaobin Chi, Zhiyong Wang","doi":"10.1117/12.815550","DOIUrl":null,"url":null,"abstract":"Striping noise and image degradation are the main factors that reduce the quality of Beijing-1 small satellite raw data images, thus noise removal and image restoration are the two important tasks in processing and application of the images. This paper presents efficient noise removal and image restoration methods on analysis of the imaging system characteristics and the image quality reduction principles. The proposed methods evidently improve quality of the images, and are employed in practical processing procedures of Beijing-1 small satellite images.","PeriodicalId":340728,"journal":{"name":"China Symposium on Remote Sensing","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Quality improvement of Beijing-1 small satellite images\",\"authors\":\"Qiong Ran, Yaobin Chi, Zhiyong Wang\",\"doi\":\"10.1117/12.815550\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Striping noise and image degradation are the main factors that reduce the quality of Beijing-1 small satellite raw data images, thus noise removal and image restoration are the two important tasks in processing and application of the images. This paper presents efficient noise removal and image restoration methods on analysis of the imaging system characteristics and the image quality reduction principles. The proposed methods evidently improve quality of the images, and are employed in practical processing procedures of Beijing-1 small satellite images.\",\"PeriodicalId\":340728,\"journal\":{\"name\":\"China Symposium on Remote Sensing\",\"volume\":\"28 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-11-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"China Symposium on Remote Sensing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1117/12.815550\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"China Symposium on Remote Sensing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.815550","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Quality improvement of Beijing-1 small satellite images
Striping noise and image degradation are the main factors that reduce the quality of Beijing-1 small satellite raw data images, thus noise removal and image restoration are the two important tasks in processing and application of the images. This paper presents efficient noise removal and image restoration methods on analysis of the imaging system characteristics and the image quality reduction principles. The proposed methods evidently improve quality of the images, and are employed in practical processing procedures of Beijing-1 small satellite images.
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