{"title":"An Adaptive Stripe Noise Removal Algorithm for Optical Satellite Imagery","authors":"Kamirul, P. R. Hakim, W. Hasbi","doi":"10.1109/ICARES.2019.8914344","DOIUrl":null,"url":null,"abstract":"This paper describes a modified version of existing statistical-based stripe noise removal designed to recover noisy images without devastating the structure of the image. The proposed algorithm has been tested by using LAPAN-A2 microsatellite imagery. Based on the investigation of corrected images, it is confirmed that the proposed algorithm was capable of giving a satisfying result than that of the existing one. It is also found that the performance of the proposed algorithm is 10.21% better than that of the existing algorithm. This result indicates that the proposed algorithm can be used as data processing tool to address the stripe noise disturbance existed on particular imaging system.","PeriodicalId":376964,"journal":{"name":"2019 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology (ICARES)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology (ICARES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICARES.2019.8914344","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
This paper describes a modified version of existing statistical-based stripe noise removal designed to recover noisy images without devastating the structure of the image. The proposed algorithm has been tested by using LAPAN-A2 microsatellite imagery. Based on the investigation of corrected images, it is confirmed that the proposed algorithm was capable of giving a satisfying result than that of the existing one. It is also found that the performance of the proposed algorithm is 10.21% better than that of the existing algorithm. This result indicates that the proposed algorithm can be used as data processing tool to address the stripe noise disturbance existed on particular imaging system.
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