{"title":"迪拜卫星-1图像的图像融合工具","authors":"Ahmed M. Alharmoudi, A. Dawood, A. Alsuwaidi","doi":"10.1109/IEEEGCC.2011.5752480","DOIUrl":null,"url":null,"abstract":"In this paper, an Image Fusion Tool for satellite images is proposed. It is mainly developed to enhance quality of images taken from DubaiSat-1 remote sensing satellite. Two different methods were proposed, one is called Pixel-intensity Fusion (PIF) and the other is Transferred color space Fusion (TCSF). Each technique is presented with two options. Each method is also consisting two approaches. Results show that TCSF is superior to the two PIF method.","PeriodicalId":119104,"journal":{"name":"2011 IEEE GCC Conference and Exhibition (GCC)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Image Fusion Tool for Dubai Sat-1 images\",\"authors\":\"Ahmed M. Alharmoudi, A. Dawood, A. Alsuwaidi\",\"doi\":\"10.1109/IEEEGCC.2011.5752480\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, an Image Fusion Tool for satellite images is proposed. It is mainly developed to enhance quality of images taken from DubaiSat-1 remote sensing satellite. Two different methods were proposed, one is called Pixel-intensity Fusion (PIF) and the other is Transferred color space Fusion (TCSF). Each technique is presented with two options. Each method is also consisting two approaches. Results show that TCSF is superior to the two PIF method.\",\"PeriodicalId\":119104,\"journal\":{\"name\":\"2011 IEEE GCC Conference and Exhibition (GCC)\",\"volume\":\"21 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-04-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 IEEE GCC Conference and Exhibition (GCC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IEEEGCC.2011.5752480\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE GCC Conference and Exhibition (GCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEEEGCC.2011.5752480","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this paper, an Image Fusion Tool for satellite images is proposed. It is mainly developed to enhance quality of images taken from DubaiSat-1 remote sensing satellite. Two different methods were proposed, one is called Pixel-intensity Fusion (PIF) and the other is Transferred color space Fusion (TCSF). Each technique is presented with two options. Each method is also consisting two approaches. Results show that TCSF is superior to the two PIF method.