{"title":"论文征集:卫星图像的深度学习和进化计算特刊","authors":"","doi":"10.26599/BDMA.2021.9020025","DOIUrl":null,"url":null,"abstract":"Satellite images are humungous sources of data that require efficient methods for knowledge discovery. The increased availability of earth data from satellite images has immense opportunities in various fields. However, the volume and heterogeneity of data poses serious computational challenges. The development of efficient techniques has the potential of discovering hidden information from these images. This knowledge can be used in various activities related to planning, monitoring, and managing the earth resources. Deep learning are being widely used for image analysis and processing. Deep learning based models can be effectively used for mining and knowledge discovery from satellite images.","PeriodicalId":52355,"journal":{"name":"Big Data Mining and Analytics","volume":"5 1","pages":"79-79"},"PeriodicalIF":7.7000,"publicationDate":"2021-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/8254253/9663253/09663262.pdf","citationCount":"0","resultStr":"{\"title\":\"Call for papers: Special issue on deep learning and evolutionary computation for satellite imagery\",\"authors\":\"\",\"doi\":\"10.26599/BDMA.2021.9020025\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Satellite images are humungous sources of data that require efficient methods for knowledge discovery. The increased availability of earth data from satellite images has immense opportunities in various fields. However, the volume and heterogeneity of data poses serious computational challenges. The development of efficient techniques has the potential of discovering hidden information from these images. This knowledge can be used in various activities related to planning, monitoring, and managing the earth resources. Deep learning are being widely used for image analysis and processing. Deep learning based models can be effectively used for mining and knowledge discovery from satellite images.\",\"PeriodicalId\":52355,\"journal\":{\"name\":\"Big Data Mining and Analytics\",\"volume\":\"5 1\",\"pages\":\"79-79\"},\"PeriodicalIF\":7.7000,\"publicationDate\":\"2021-12-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://ieeexplore.ieee.org/iel7/8254253/9663253/09663262.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Big Data Mining and Analytics\",\"FirstCategoryId\":\"1093\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/9663262/\",\"RegionNum\":1,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Big Data Mining and Analytics","FirstCategoryId":"1093","ListUrlMain":"https://ieeexplore.ieee.org/document/9663262/","RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
Call for papers: Special issue on deep learning and evolutionary computation for satellite imagery
Satellite images are humungous sources of data that require efficient methods for knowledge discovery. The increased availability of earth data from satellite images has immense opportunities in various fields. However, the volume and heterogeneity of data poses serious computational challenges. The development of efficient techniques has the potential of discovering hidden information from these images. This knowledge can be used in various activities related to planning, monitoring, and managing the earth resources. Deep learning are being widely used for image analysis and processing. Deep learning based models can be effectively used for mining and knowledge discovery from satellite images.
期刊介绍：
Big Data Mining and Analytics, a publication by Tsinghua University Press, presents groundbreaking research in the field of big data research and its applications. This comprehensive book delves into the exploration and analysis of vast amounts of data from diverse sources to uncover hidden patterns, correlations, insights, and knowledge.
Featuring the latest developments, research issues, and solutions, this book offers valuable insights into the world of big data. It provides a deep understanding of data mining techniques, data analytics, and their practical applications.
Big Data Mining and Analytics has gained significant recognition and is indexed and abstracted in esteemed platforms such as ESCI, EI, Scopus, DBLP Computer Science, Google Scholar, INSPEC, CSCD, DOAJ, CNKI, and more.
With its wealth of information and its ability to transform the way we perceive and utilize data, this book is a must-read for researchers, professionals, and anyone interested in the field of big data analytics.
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