Proceedings of the IEEE最新文献_第6页

IF 30.9 1区计算机科学

Proceedings of the IEEE Pub Date : 2026-02-01 Epub Date: 2026-07-17 DOI: 10.1109/JPROC.2026.3707914

引用次数: 0

AI in Satellite Remote Sensing of the Ocean 人工智能在海洋卫星遥感中的应用

IF 30.9 1区计算机科学

Proceedings of the IEEE Pub Date : 2026-02-01 Epub Date: 2026-02-26 DOI: 10.1109/JPROC.2026.3664121

Xiaofeng Li;Qing Xu;Haoyu Wang;Haoyu Jiang;Xiaobin Yin;Shanshan Mu;Xiaolong Li;Hua Su;An Wang;Yi Yang;Yanjun Wang;Yibin Ren;Xudong Zhang;Yingjie Liu;Chong Wang

{"title":"AI in Satellite Remote Sensing of the Ocean","authors":"Xiaofeng Li;Qing Xu;Haoyu Wang;Haoyu Jiang;Xiaobin Yin;Shanshan Mu;Xiaolong Li;Hua Su;An Wang;Yi Yang;Yanjun Wang;Yibin Ren;Xudong Zhang;Yingjie Liu;Chong Wang","doi":"10.1109/JPROC.2026.3664121","DOIUrl":"10.1109/JPROC.2026.3664121","url":null,"abstract":"Satellite remote sensing plays a fundamental role in observing oceanic processes by providing large-scale, long-term, and continuous measurements. With the increasing availability of multisource satellite data, challenges such as data gaps, complex environmental conditions, and the limitations of conventional retrieval methods have become more evident. In recent years, artificial intelligence (AI) has emerged as a practical and effective approach to address these issues. This article reviews the development of AI techniques in satellite ocean remote sensing, focusing on three main application areas: parameter retrieval, data reconstruction, and image-based ocean phenomenon detection. For geophysical variable retrieval, AI models such as convolutional neural networks (CNNs) and Transformer architectures have improved the accuracy of ocean waves, sea surface, salinity, wind, and ocean color estimates, especially under extreme or noisy conditions. In the field of data reconstruction, AI methods enable the completion of missing data in both surface and subsurface ocean layers, offering finer spatial–temporal resolution and better consistency than traditional interpolation approaches. For image interpretation, deep learning (DL) models have been applied to detect and segment dynamic ocean features such as mesoscale eddies, internal waves, sea ice, and tropical cyclones (TCs), achieving high efficiency and precision. This article also highlights the integration of AI with physical knowledge, the use of multisource fusion, and the trend toward near real-time (NRT) applications. These developments indicate that AI will play an increasingly important role in future satellite-based ocean observation and environmental monitoring.","PeriodicalId":20556,"journal":{"name":"Proceedings of the IEEE","volume":"114 2","pages":"362-395"},"PeriodicalIF":30.9,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11413853","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147319652","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The In-Orbit Performance of Chinese First FengYun Rainfall Mission FY-3G 中国首次风云降雨任务FY-3G在轨性能

IF 30.9 1区计算机科学

Proceedings of the IEEE Pub Date : 2026-02-01 Epub Date: 2025-09-22 DOI: 10.1109/JPROC.2025.3605964

Peng Zhang;Jian Shang;Lin Chen;Shuze Jia;Honggang Yin;Shengli Wu;Wenqiang Lu;Hanlie Xu;Haofei Wang;Yixuan Shou;Guangzhen Cao;Sijie Chen;Manyun Lin;Aijun Zhu;Songyan Gu;Xiangang Zhao

{"title":"The In-Orbit Performance of Chinese First FengYun Rainfall Mission FY-3G","authors":"Peng Zhang;Jian Shang;Lin Chen;Shuze Jia;Honggang Yin;Shengli Wu;Wenqiang Lu;Hanlie Xu;Haofei Wang;Yixuan Shou;Guangzhen Cao;Sijie Chen;Manyun Lin;Aijun Zhu;Songyan Gu;Xiangang Zhao","doi":"10.1109/JPROC.2025.3605964","DOIUrl":"10.1109/JPROC.2025.3605964","url":null,"abstract":"In April 2023, China launched its first precipitation measurement satellite, FengYun-3G (FY-3G), to accurately measure the spatial and vertical structures of precipitation in the middle and lower latitudes of Earth. Equipped with advanced instruments, including a dual-frequency precipitation radar (DPR), a microwave radiometer, a visible and infrared (IR) imager, and a radio occultation sounder with reflectometry, FY-3G is designed for simultaneous measurements of precipitation, atmospheric temperature/moisture profiles, and cloud properties while capturing land and sea imaging at the same time. Additionally, it carries a polarized multiangle imager (PMAI) as an experimental payload to enhance the understanding of cloud microphysics. Six months after its launch, FY-3G has successfully completed the in-orbit commissioning phase. The detailed evaluation of the performance and the functionality of the platform as well as the instruments is presented in this article. Calibration and validation processes are also discussed. Since the end of 2023, sensor-dependent data records have been carefully validated and made available for public use. As the first of two planned precipitation missions in the FengYun satellite series, FY-3G offers independent and high-quality data on the occurrence, type, and intensity of precipitation, complementing the current observations made by the Global Precipitation Measurement satellite. This mission is expected to significantly advance the global understanding of precipitation dynamics, mechanisms, and the water cycle.","PeriodicalId":20556,"journal":{"name":"Proceedings of the IEEE","volume":"114 2","pages":"284-307"},"PeriodicalIF":30.9,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145127640","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Wideband Radiometry From P to S Band for Monitoring Polar Regions 从P到S波段监测极地的宽带辐射测量

IF 30.9 1区计算机科学

Proceedings of the IEEE Pub Date : 2026-02-01 Epub Date: 2026-01-23 DOI: 10.1109/JPROC.2026.3653571

Giovanni Macelloni;Kenneth C. Jezek;Marco Brogioni;Joel T. Johnson;Marion Leduc-Leballeur;Ghislain Picard;Ange Haddjeri;Lars Kaleschke;Jacqueline Boutin;Jean Luc Vergely;Nicolas Kolodziejczyk;Laurent Bertino;Emmanuel P. Dinnat;Rasmus T. Tonboe;Anne Munck Solgaard;Xiaoji Shen;Jeffrey P. Walker;Synne Høyer Svendsen;Stef Lhermitte;Yiwen Zhou

{"title":"Wideband Radiometry From P to S Band for Monitoring Polar Regions","authors":"Giovanni Macelloni;Kenneth C. Jezek;Marco Brogioni;Joel T. Johnson;Marion Leduc-Leballeur;Ghislain Picard;Ange Haddjeri;Lars Kaleschke;Jacqueline Boutin;Jean Luc Vergely;Nicolas Kolodziejczyk;Laurent Bertino;Emmanuel P. Dinnat;Rasmus T. Tonboe;Anne Munck Solgaard;Xiaoji Shen;Jeffrey P. Walker;Synne Høyer Svendsen;Stef Lhermitte;Yiwen Zhou","doi":"10.1109/JPROC.2026.3653571","DOIUrl":"10.1109/JPROC.2026.3653571","url":null,"abstract":"This article reviews existing and planned contributions of spaceborne microwave radiometry from P to S band to new measurements of key geophysical variables with a particular focus on the polar regions. It summarizes the current state of spaceborne microwave radiometry to measure ice sheet thermal states, sea ice thickness (SIT), salinity, and sea surface salinity (SSS). Then, this article discusses the potential of wideband radiometry, with continuous sampling in the range of 0.4–2 GHz, as a breakthrough for enhancing the estimation of geophysical variables such as SSS and the geothermal heat flux beneath the polar ice sheets, which are currently monitored primarily using L-band radiometry satellites. Furthermore, this article describes opportunities for new unique observations that cannot be achieved with the current constellation of satellite sensors. In addition, this article demonstrates the advantages of using low-frequency radiometry in sensing soil moisture and biomass from space due to the great sensing depth. This article concludes with a discussion of mission concepts highlighting the CryoRad mission, which has been selected as one of the four candidates for European Space Agency Earth Explorer 12 competition and is now conducting Phase 0 feasibility studies, envisions a 0.4–2-GHz dedicated spaceborne radiometer operated with circular polarization.","PeriodicalId":20556,"journal":{"name":"Proceedings of the IEEE","volume":"114 2","pages":"261-283"},"PeriodicalIF":30.9,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11363039","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146042894","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

IEEE Membership IEEE会员

IF 30.9 1区计算机科学

Proceedings of the IEEE Pub Date : 2026-02-01 Epub Date: 2026-07-17 DOI: 10.1109/JPROC.2026.3700760

引用次数: 0

Spaceborne Synthetic Aperture Radar: Future Technologies and Mission Concepts 星载合成孔径雷达：未来技术和任务概念

IF 30.9 1区计算机科学

Proceedings of the IEEE Pub Date : 2026-02-01 Epub Date: 2025-11-27 DOI: 10.1109/JPROC.2025.3621586

Alberto Moreira;Gerhard Krieger;Michelangelo Villano;Marwan Younis;Pau Prats-Iraola;Manfred Zink

{"title":"Spaceborne Synthetic Aperture Radar: Future Technologies and Mission Concepts","authors":"Alberto Moreira;Gerhard Krieger;Michelangelo Villano;Marwan Younis;Pau Prats-Iraola;Manfred Zink","doi":"10.1109/JPROC.2025.3621586","DOIUrl":"10.1109/JPROC.2025.3621586","url":null,"abstract":"This article provides an overview of the state-of-the-art and future developments in spaceborne synthetic aperture radar (SAR). Today, we are experiencing a golden age of spaceborne SAR, with the number of satellites in orbit increasing rapidly. This article presents novel technologies and mission concepts associated with innovative imaging modes, which are required to meet the stringent user requirements for improved performance, global coverage, faster revisit times, enhanced spatial resolution, and increased information content in SAR imagery. It is shown that key technologies and mission concepts, based on digital beamforming (DBF), bistatic and multistatic SARs, distributed SAR, and multiple-input multiple-output SAR (MIMO-SAR), will boost the performance and capabilities of the future generation of spaceborne SAR systems. In addition, this article addresses dedicated mission designs, technologies, and orbit concepts that are required to fulfill the specific user requirements. Two main streams in the spaceborne SAR development are presented alongside a tradeoff analysis: 1) NewSpace SAR, consisting of small satellites in the 85-kg to 250-kg weight class with the highest-resolution imagery and very short revisit times and 2) full-fledged SAR satellites with global coverage, high performance, and enhanced capabilities. It is shown that NewSpace and full-fledged SAR satellites are complementary in terms of user requirements, and that combining both mission concepts enables novel mission concepts, such as multistatic SAR, opening the door to a wealth of new applications. This article concludes with an outlook on the future of spaceborne SAR.","PeriodicalId":20556,"journal":{"name":"Proceedings of the IEEE","volume":"114 2","pages":"183-219"},"PeriodicalIF":30.9,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11270227","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145610988","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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Proceedings of the IEEE: Stay Informed. Become Inspired. IEEE会刊：保持信息灵通。成为灵感。

IF 30.9 1区计算机科学

Proceedings of the IEEE Pub Date : 2026-02-01 Epub Date: 2026-07-17 DOI: 10.1109/JPROC.2026.3700762

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The Road to 6G: Driving the Next Wave of Connectivity—Part II 通往6G的道路：驱动下一波连接——第二部分

IF 25.9 1区计算机科学

Proceedings of the IEEE Pub Date : 2026-01-22 DOI: 10.1109/JPROC.2025.3646308

Mohamed-Slim Alouini;Emil Björnson;Meixia Tao;Yasamin Mostofi

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IEEE Connects You to a Universe of Information! IEEE将您连接到信息的宇宙！

IF 25.9 1区计算机科学