{"title":"基于模拟退火参数估计的最大熵法星载可见光和近红外辐射计混频器分类分解方法","authors":"K. Arai","doi":"10.14569/IJARAI.2013.020410","DOIUrl":null,"url":null,"abstract":"Category decomposition method for un-mixing of mixels (Mixed Pixels) which is acquired with spaceborne based visible to near infrared radiometers by means of Maximum Entropy Method (MEM) with parameter estimation based on Simulated Annealing: SA is proposed. Through simulation studies with spectral characteristics of the ground cover targets which are derived from spectral library and actual remote sensing satellite imagery data, it is confirmed that the proposed method works well.","PeriodicalId":323606,"journal":{"name":"International Journal of Advanced Research in Artificial Intelligence","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Category Decomposition Method for Un-Mixing of Mixels Acquired with Spaceborne Based Visible and Near Infrared Radiometers by Means of Maximum Entropy Method with Parameter Estimation Based on Simulated Annealing\",\"authors\":\"K. Arai\",\"doi\":\"10.14569/IJARAI.2013.020410\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Category decomposition method for un-mixing of mixels (Mixed Pixels) which is acquired with spaceborne based visible to near infrared radiometers by means of Maximum Entropy Method (MEM) with parameter estimation based on Simulated Annealing: SA is proposed. Through simulation studies with spectral characteristics of the ground cover targets which are derived from spectral library and actual remote sensing satellite imagery data, it is confirmed that the proposed method works well.\",\"PeriodicalId\":323606,\"journal\":{\"name\":\"International Journal of Advanced Research in Artificial Intelligence\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Advanced Research in Artificial Intelligence\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.14569/IJARAI.2013.020410\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Advanced Research in Artificial Intelligence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.14569/IJARAI.2013.020410","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Category Decomposition Method for Un-Mixing of Mixels Acquired with Spaceborne Based Visible and Near Infrared Radiometers by Means of Maximum Entropy Method with Parameter Estimation Based on Simulated Annealing
Category decomposition method for un-mixing of mixels (Mixed Pixels) which is acquired with spaceborne based visible to near infrared radiometers by means of Maximum Entropy Method (MEM) with parameter estimation based on Simulated Annealing: SA is proposed. Through simulation studies with spectral characteristics of the ground cover targets which are derived from spectral library and actual remote sensing satellite imagery data, it is confirmed that the proposed method works well.
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