面向多卫星协同观测的机载信息融合:综述、挑战和展望

IF 16.2 1区地球科学 Q1 GEOCHEMISTRY & GEOPHYSICS

IEEE Geoscience and Remote Sensing Magazine Pub Date : 2023-06-01 DOI:10.1109/MGRS.2023.3274301

Gui Gao, Libo Yao, Wenfeng Li, Linlin Zhang, Maolin Zhang

{"title":"面向多卫星协同观测的机载信息融合:综述、挑战和展望","authors":"Gui Gao, Libo Yao, Wenfeng Li, Linlin Zhang, Maolin Zhang","doi":"10.1109/MGRS.2023.3274301","DOIUrl":null,"url":null,"abstract":"Onboard information fusion for multisatellites, which is based on spatial computing mode, can improve the satellites’ capability, such as the spatial–temporal coverage, detection accuracy, recognition confidence, position precision, and prediction precision for disaster monitoring, maritime surveillance, and other emergent or continuous persistent observing situations. First, we analyze the necessity of onboard information fusion. Next, the recent onboard processing developments are summarized and the existing problems are discussed. Furthermore, the key technologies and concepts of onboard information fusion are summarized in the fields of feature representation, association, feature-level fusion, spatial computing architecture, and other issues. Finally, the future developments of onboard information fusion are investigated and discussed.","PeriodicalId":48660,"journal":{"name":"IEEE Geoscience and Remote Sensing Magazine","volume":null,"pages":null},"PeriodicalIF":16.2000,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Onboard Information Fusion for Multisatellite Collaborative Observation: Summary, challenges, and perspectives\",\"authors\":\"Gui Gao, Libo Yao, Wenfeng Li, Linlin Zhang, Maolin Zhang\",\"doi\":\"10.1109/MGRS.2023.3274301\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Onboard information fusion for multisatellites, which is based on spatial computing mode, can improve the satellites’ capability, such as the spatial–temporal coverage, detection accuracy, recognition confidence, position precision, and prediction precision for disaster monitoring, maritime surveillance, and other emergent or continuous persistent observing situations. First, we analyze the necessity of onboard information fusion. Next, the recent onboard processing developments are summarized and the existing problems are discussed. Furthermore, the key technologies and concepts of onboard information fusion are summarized in the fields of feature representation, association, feature-level fusion, spatial computing architecture, and other issues. Finally, the future developments of onboard information fusion are investigated and discussed.\",\"PeriodicalId\":48660,\"journal\":{\"name\":\"IEEE Geoscience and Remote Sensing Magazine\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":16.2000,\"publicationDate\":\"2023-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Geoscience and Remote Sensing Magazine\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://doi.org/10.1109/MGRS.2023.3274301\",\"RegionNum\":1,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"GEOCHEMISTRY & GEOPHYSICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Geoscience and Remote Sensing Magazine","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.1109/MGRS.2023.3274301","RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GEOCHEMISTRY & GEOPHYSICS","Score":null,"Total":0}

引用次数: 2

摘要

基于空间计算模式的多星机载信息融合可以提高卫星的时空覆盖能力、探测精度、识别置信度、定位精度和预测精度，用于灾害监测、海上监视和其他紧急或连续持续观测情况。首先，分析了机载信息融合的必要性。其次，总结了近年来机载加工技术的发展，并对存在的问题进行了讨论。从特征表示、关联、特征级融合、空间计算架构等方面总结了机载信息融合的关键技术和概念。最后，对机载信息融合的未来发展进行了展望和讨论。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Onboard Information Fusion for Multisatellite Collaborative Observation: Summary, challenges, and perspectives

Onboard information fusion for multisatellites, which is based on spatial computing mode, can improve the satellites’ capability, such as the spatial–temporal coverage, detection accuracy, recognition confidence, position precision, and prediction precision for disaster monitoring, maritime surveillance, and other emergent or continuous persistent observing situations. First, we analyze the necessity of onboard information fusion. Next, the recent onboard processing developments are summarized and the existing problems are discussed. Furthermore, the key technologies and concepts of onboard information fusion are summarized in the fields of feature representation, association, feature-level fusion, spatial computing architecture, and other issues. Finally, the future developments of onboard information fusion are investigated and discussed.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

IEEE Geoscience and Remote Sensing Magazine Computer Science-General Computer Science

CiteScore

20.50

自引率

2.70%

发文量

期刊介绍： The IEEE Geoscience and Remote Sensing Magazine (GRSM) serves as an informative platform, keeping readers abreast of activities within the IEEE GRS Society, its technical committees, and chapters. In addition to updating readers on society-related news, GRSM plays a crucial role in educating and informing its audience through various channels. These include:Technical Papers,International Remote Sensing Activities,Contributions on Education Activities,Industrial and University Profiles,Conference News,Book Reviews,Calendar of Important Events.