{"title":"LAPAN-A2微卫星图像的线降误差校正","authors":"Kamirul, P. R. Hakim, R. Madina","doi":"10.1109/ICARES.2019.8914346","DOIUrl":null,"url":null,"abstract":"During satellite data transmission, several schemes of unavoidable errors may be experienced by the ground receiver. In the case of LAPAN-A2 imagery, those errors account for the presence of byte-missing effect disordering the position of pixel location on received raw data. Processing raw data contaminated by the byte-shifting effect will produce a line-drop pattern covering the original image on a particular line. This work is aimed to develop line-drop correction algorithm applied on three different levels of LAPAN-A2 microsatellite imagery data. A quantitative analysis was also performed on corrected images to determine the most suitable correction method for LAPAN-A2 imagery. In the end, a comparison between the developed method and an existing method has been demonstrated. It is confirmed that the developed method is better than the existing method in terms of producing a better quality of corrected images and performing a faster computational task. The developed method can be used as a solution to avoid data re-transmission to recover clear image data.","PeriodicalId":376964,"journal":{"name":"2019 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology (ICARES)","volume":"141 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Line-Drop Error Correction for LAPAN-A2 Microsatellite Imagery\",\"authors\":\"Kamirul, P. R. Hakim, R. Madina\",\"doi\":\"10.1109/ICARES.2019.8914346\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"During satellite data transmission, several schemes of unavoidable errors may be experienced by the ground receiver. In the case of LAPAN-A2 imagery, those errors account for the presence of byte-missing effect disordering the position of pixel location on received raw data. Processing raw data contaminated by the byte-shifting effect will produce a line-drop pattern covering the original image on a particular line. This work is aimed to develop line-drop correction algorithm applied on three different levels of LAPAN-A2 microsatellite imagery data. A quantitative analysis was also performed on corrected images to determine the most suitable correction method for LAPAN-A2 imagery. In the end, a comparison between the developed method and an existing method has been demonstrated. It is confirmed that the developed method is better than the existing method in terms of producing a better quality of corrected images and performing a faster computational task. The developed method can be used as a solution to avoid data re-transmission to recover clear image data.\",\"PeriodicalId\":376964,\"journal\":{\"name\":\"2019 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology (ICARES)\",\"volume\":\"141 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.2019.8914346\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","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.2019.8914346","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Line-Drop Error Correction for LAPAN-A2 Microsatellite Imagery
During satellite data transmission, several schemes of unavoidable errors may be experienced by the ground receiver. In the case of LAPAN-A2 imagery, those errors account for the presence of byte-missing effect disordering the position of pixel location on received raw data. Processing raw data contaminated by the byte-shifting effect will produce a line-drop pattern covering the original image on a particular line. This work is aimed to develop line-drop correction algorithm applied on three different levels of LAPAN-A2 microsatellite imagery data. A quantitative analysis was also performed on corrected images to determine the most suitable correction method for LAPAN-A2 imagery. In the end, a comparison between the developed method and an existing method has been demonstrated. It is confirmed that the developed method is better than the existing method in terms of producing a better quality of corrected images and performing a faster computational task. The developed method can be used as a solution to avoid data re-transmission to recover clear image data.