{"title":"JL-1卫星多模态推扫相机抖动检测","authors":"Zhao-Xiang Zhang, Guo-dong Xu","doi":"10.1109/ICMAE.2016.7549616","DOIUrl":null,"url":null,"abstract":"Pushbroom cameras are widely used for earth observation application. This sensor capture 1D image over time and sweep out a region of space and build a 2D image using the straight motion of the satellite. The attitude variation is assumed to be constant during the acquisition process. However, this assumption has been weakened due to a tendency of miniature and lightweight of satellites. In this paper, we analyze the warps of remote sensing image and introduce an improved image registration method. Then the correct images are retrieved and the satellite variation is estimated. The performances of our algorithm are shown on JL-1 satellite datasets. The results shows the possibility of the improvement in geometric processing accuracy for JL-1 imagery products and provide a good reference for satellite platform jitter source analysis.","PeriodicalId":371629,"journal":{"name":"2016 7th International Conference on Mechanical and Aerospace Engineering (ICMAE)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Detection of JL-1 satellite's jitter using multimodal pushbroom cameras\",\"authors\":\"Zhao-Xiang Zhang, Guo-dong Xu\",\"doi\":\"10.1109/ICMAE.2016.7549616\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Pushbroom cameras are widely used for earth observation application. This sensor capture 1D image over time and sweep out a region of space and build a 2D image using the straight motion of the satellite. The attitude variation is assumed to be constant during the acquisition process. However, this assumption has been weakened due to a tendency of miniature and lightweight of satellites. In this paper, we analyze the warps of remote sensing image and introduce an improved image registration method. Then the correct images are retrieved and the satellite variation is estimated. The performances of our algorithm are shown on JL-1 satellite datasets. The results shows the possibility of the improvement in geometric processing accuracy for JL-1 imagery products and provide a good reference for satellite platform jitter source analysis.\",\"PeriodicalId\":371629,\"journal\":{\"name\":\"2016 7th International Conference on Mechanical and Aerospace Engineering (ICMAE)\",\"volume\":\"22 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-07-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 7th International Conference on Mechanical and Aerospace Engineering (ICMAE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICMAE.2016.7549616\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 7th International Conference on Mechanical and Aerospace Engineering (ICMAE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMAE.2016.7549616","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Detection of JL-1 satellite's jitter using multimodal pushbroom cameras
Pushbroom cameras are widely used for earth observation application. This sensor capture 1D image over time and sweep out a region of space and build a 2D image using the straight motion of the satellite. The attitude variation is assumed to be constant during the acquisition process. However, this assumption has been weakened due to a tendency of miniature and lightweight of satellites. In this paper, we analyze the warps of remote sensing image and introduce an improved image registration method. Then the correct images are retrieved and the satellite variation is estimated. The performances of our algorithm are shown on JL-1 satellite datasets. The results shows the possibility of the improvement in geometric processing accuracy for JL-1 imagery products and provide a good reference for satellite platform jitter source analysis.