{"title":"Efficient solution of large-scale domestic hyperspectral data processing and geological application","authors":"Junchuan Yu, Bokun Yan","doi":"10.1109/RSIP.2017.7970774","DOIUrl":null,"url":null,"abstract":"As we have entered an era of information, the RS data are undergoing a plosive growth. The needs of large-scale earth observation have led to the development of high-resolution and high-dimensionality RS data, which has posed significant challenges in processing and application. In this paper, we demonstrate some possible solution of large-scale domestic hyperspectral data processing and geological application, mainly from three aspects.","PeriodicalId":262222,"journal":{"name":"2017 International Workshop on Remote Sensing with Intelligent Processing (RSIP)","volume":"2005 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Workshop on Remote Sensing with Intelligent Processing (RSIP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RSIP.2017.7970774","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
As we have entered an era of information, the RS data are undergoing a plosive growth. The needs of large-scale earth observation have led to the development of high-resolution and high-dimensionality RS data, which has posed significant challenges in processing and application. In this paper, we demonstrate some possible solution of large-scale domestic hyperspectral data processing and geological application, mainly from three aspects.