{"title":"基于模糊遗传算法的多光谱遥感图像恢复","authors":"T. Zhang, Xiaohui Luo, Song-rong Wu","doi":"10.1109/ICECE.2010.330","DOIUrl":null,"url":null,"abstract":"The accuracy of earth observation can be effected by the degree of the retrograde remote sensing image. The conventional image restoration operations, the complexity of the image is not considered, potentially good fitness individuals are often discarded by deterministic evaluation function. To solve these problems, fuzzy genetic algorithm (FGA) is proposed on the base of genetic algorithm. Uncertainty problems can be solved in the process of image processing by constructing fuzzy characteristic matrix and fuzzy fitness function, and using fuzzy genetic optimization method. Experimental results show that the better results for remote sensing image restoration can be gotten.","PeriodicalId":6419,"journal":{"name":"2010 International Conference on Electrical and Control Engineering","volume":"6 1","pages":"1328-1331"},"PeriodicalIF":0.0000,"publicationDate":"2010-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Multispectral Remote Sensing Image Restoration Based on Fuzzy Genetic Algorithm\",\"authors\":\"T. Zhang, Xiaohui Luo, Song-rong Wu\",\"doi\":\"10.1109/ICECE.2010.330\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The accuracy of earth observation can be effected by the degree of the retrograde remote sensing image. The conventional image restoration operations, the complexity of the image is not considered, potentially good fitness individuals are often discarded by deterministic evaluation function. To solve these problems, fuzzy genetic algorithm (FGA) is proposed on the base of genetic algorithm. Uncertainty problems can be solved in the process of image processing by constructing fuzzy characteristic matrix and fuzzy fitness function, and using fuzzy genetic optimization method. Experimental results show that the better results for remote sensing image restoration can be gotten.\",\"PeriodicalId\":6419,\"journal\":{\"name\":\"2010 International Conference on Electrical and Control Engineering\",\"volume\":\"6 1\",\"pages\":\"1328-1331\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-06-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 International Conference on Electrical and Control Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICECE.2010.330\",\"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 International Conference on Electrical and Control Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICECE.2010.330","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Multispectral Remote Sensing Image Restoration Based on Fuzzy Genetic Algorithm
The accuracy of earth observation can be effected by the degree of the retrograde remote sensing image. The conventional image restoration operations, the complexity of the image is not considered, potentially good fitness individuals are often discarded by deterministic evaluation function. To solve these problems, fuzzy genetic algorithm (FGA) is proposed on the base of genetic algorithm. Uncertainty problems can be solved in the process of image processing by constructing fuzzy characteristic matrix and fuzzy fitness function, and using fuzzy genetic optimization method. Experimental results show that the better results for remote sensing image restoration can be gotten.
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