{"title":"利用超像素分割和邻域嵌入技术删除陆地卫星图像中的厚云","authors":"R. Thendral, S. Revathi","doi":"10.1109/ICSCAN49426.2020.9262355","DOIUrl":null,"url":null,"abstract":"The data can be missed in the image which are taken from the satellite due to covering of cloud in some places of image. This can reduce the usability of the image. Several methods can solve this accurately, but the method is not effective due to the requirement of multiple images to give the single clear image without cloud. Right now, propose a system called super pixel segmentation and neighbour embedding technique to remove the clouds placed in the images using the single image. This method works effectively using image processing and give the very accurate image. Experiment result can be obtained using satellite images.","PeriodicalId":6744,"journal":{"name":"2020 International Conference on System, Computation, Automation and Networking (ICSCAN)","volume":"51 1","pages":"1-6"},"PeriodicalIF":0.0000,"publicationDate":"2020-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Deletion of Thick Clouds from Landsat images using Super Pixel Segmentation and Neighbour Embedding Techniques\",\"authors\":\"R. Thendral, S. Revathi\",\"doi\":\"10.1109/ICSCAN49426.2020.9262355\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The data can be missed in the image which are taken from the satellite due to covering of cloud in some places of image. This can reduce the usability of the image. Several methods can solve this accurately, but the method is not effective due to the requirement of multiple images to give the single clear image without cloud. Right now, propose a system called super pixel segmentation and neighbour embedding technique to remove the clouds placed in the images using the single image. This method works effectively using image processing and give the very accurate image. Experiment result can be obtained using satellite images.\",\"PeriodicalId\":6744,\"journal\":{\"name\":\"2020 International Conference on System, Computation, Automation and Networking (ICSCAN)\",\"volume\":\"51 1\",\"pages\":\"1-6\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-07-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 International Conference on System, Computation, Automation and Networking (ICSCAN)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSCAN49426.2020.9262355\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference on System, Computation, Automation and Networking (ICSCAN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSCAN49426.2020.9262355","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Deletion of Thick Clouds from Landsat images using Super Pixel Segmentation and Neighbour Embedding Techniques
The data can be missed in the image which are taken from the satellite due to covering of cloud in some places of image. This can reduce the usability of the image. Several methods can solve this accurately, but the method is not effective due to the requirement of multiple images to give the single clear image without cloud. Right now, propose a system called super pixel segmentation and neighbour embedding technique to remove the clouds placed in the images using the single image. This method works effectively using image processing and give the very accurate image. Experiment result can be obtained using satellite images.