{"title":"基于传感器光谱响应的简化图像融合技术","authors":"Qiang-feng Zhou, P. Gong, Ziqi Guo, Caixia Liu, Wei Fu, Baogang Zhang","doi":"10.1109/IGARSS.2010.5648857","DOIUrl":null,"url":null,"abstract":"Introducing the sensor spectral response into the wavelet-based image fusion methods may produce images closer to which obtained by the ideal sensor. But the wavelet-based image fusion methods are complex because of the wavelet decomposition. This paper presents a simplified image fusion method using sensor spectral response which derives from a wavelet-based one, but need not to do the wavelet decomposition at the last calculation. The experimental results demonstrate that it provides good performance both in processing speed and image fusion quality.","PeriodicalId":406785,"journal":{"name":"2010 IEEE International Geoscience and Remote Sensing Symposium","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A simplified image fusion technique with sensor spectral response\",\"authors\":\"Qiang-feng Zhou, P. Gong, Ziqi Guo, Caixia Liu, Wei Fu, Baogang Zhang\",\"doi\":\"10.1109/IGARSS.2010.5648857\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Introducing the sensor spectral response into the wavelet-based image fusion methods may produce images closer to which obtained by the ideal sensor. But the wavelet-based image fusion methods are complex because of the wavelet decomposition. This paper presents a simplified image fusion method using sensor spectral response which derives from a wavelet-based one, but need not to do the wavelet decomposition at the last calculation. The experimental results demonstrate that it provides good performance both in processing speed and image fusion quality.\",\"PeriodicalId\":406785,\"journal\":{\"name\":\"2010 IEEE International Geoscience and Remote Sensing Symposium\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-07-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 IEEE International Geoscience and Remote Sensing Symposium\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IGARSS.2010.5648857\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE International Geoscience and Remote Sensing Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IGARSS.2010.5648857","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A simplified image fusion technique with sensor spectral response
Introducing the sensor spectral response into the wavelet-based image fusion methods may produce images closer to which obtained by the ideal sensor. But the wavelet-based image fusion methods are complex because of the wavelet decomposition. This paper presents a simplified image fusion method using sensor spectral response which derives from a wavelet-based one, but need not to do the wavelet decomposition at the last calculation. The experimental results demonstrate that it provides good performance both in processing speed and image fusion quality.