IEEE Geoscience and Remote Sensing Magazine最新文献_第9页

Interferometric Synthetic Aperture Radar Statistical Inference in Deformation Measurement and Geophysical Inversion: A review 变形测量和地球物理反演中的干涉合成孔径雷达统计推断：综述

IF 14.6 1区地球科学

IEEE Geoscience and Remote Sensing Magazine Pub Date : 2024-01-03 DOI: 10.1109/mgrs.2023.3344159

Chisheng Wang, Ling Chang, Xiang-Sheng Wang, Bochen Zhang, Alfred Stein

引用次数: 0

DeepBlue: Advanced convolutional neural network applications for ocean remote sensing DeepBlue：海洋遥感的高级卷积神经网络应用

IF 14.6 1区地球科学

IEEE Geoscience and Remote Sensing Magazine Pub Date : 2023-12-28 DOI: 10.1109/mgrs.2023.3343623

Haoyu Wang, Xiaofeng Li

{"title":"DeepBlue: Advanced convolutional neural network applications for ocean remote sensing","authors":"Haoyu Wang, Xiaofeng Li","doi":"10.1109/mgrs.2023.3343623","DOIUrl":"https://doi.org/10.1109/mgrs.2023.3343623","url":null,"abstract":"In the last 40 years, remote sensing technology has evolved, significantly advancing ocean observation and catapulting its data into the big data era. How to efficiently and accurately process and analyze ocean big data and solve practical problems based on ocean big data constitute a great challenge. Artificial intelligence (AI) technology has developed rapidly in recent years. Numerous deep learning (DL) models have emerged, becoming prevalent in big data analysis and practical problem solving. Among these, convolutional neural networks (CNNs) stand as a representative class of DL models and have established themselves as one of the premier solutions in various research areas, including computer vision and remote sensing applications. In this study, we first discuss the model architectures of CNNs and some of their variants as well as how they can be applied to the processing and analysis of ocean remote sensing data. Then, we demonstrate that CNNs can fulfill most of the requirements for ocean remote sensing applications across the following six categories: reconstruction of the 3D ocean field, information extraction, image superresolution, ocean phenomena forecast, transfer learning method, and CNN model interpretability method. Finally, we discuss the technical challenges facing the application of CNN-based ocean remote sensing big data and summarize future research directions.","PeriodicalId":48660,"journal":{"name":"IEEE Geoscience and Remote Sensing Magazine","volume":"12 1","pages":""},"PeriodicalIF":14.6,"publicationDate":"2023-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140071693","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Letter From the President [President’s Message] 总统致辞

IF 14.6 1区地球科学

IEEE Geoscience and Remote Sensing Magazine Pub Date : 2023-12-21 DOI: 10.1109/mgrs.2023.3335631

Mariko Burgin

引用次数: 0

Tech RXIV: Share Your Preprint Research with the World! 技术 RXIV：与世界分享您的预印本研究！

IF 14.6 1区地球科学

IEEE Geoscience and Remote Sensing Magazine Pub Date : 2023-12-21 DOI: 10.1109/mgrs.2023.3338312

引用次数: 0

The Second International Soil Moisture School [Conference Reports] 第二届国际土壤水分学校 [会议报告]

IF 14.6 1区地球科学

IEEE Geoscience and Remote Sensing Magazine Pub Date : 2023-12-01 DOI: 10.1109/mgrs.2023.3314450

L. Karthikeyan, A. Bhattacharya, J. Judge, S. Yueh

引用次数: 0

Report on the 2023 IEEE GRSS Data Fusion Contest: Large-Scale Fine-Grained Building Classification for Semantic Urban Reconstruction [Technical Committees] 2023 年 IEEE GRSS 数据融合竞赛报告：用于语义城市重建的大规模精细建筑分类 [技术委员会］

IF 14.6 1区地球科学

IEEE Geoscience and Remote Sensing Magazine Pub Date : 2023-12-01 DOI: 10.1109/mgrs.2023.3302342

R. Hänsch, C. Persello, G. Vivone, Kaiqiang Chen, Zhiyuan Yan, Deke Tang, Hai Huang, Michael Schmitt, Xian Sun

引用次数: 0

Open Source Data Programs From Low-Earth Orbit Synthetic Aperture Radar Companies: Questions and answers [Industry Profiles and Activities] 低地轨道合成孔径雷达公司的开放源码数据程序：问与答[行业概况与活动］

IF 14.6 1区地球科学

IEEE Geoscience and Remote Sensing Magazine Pub Date : 2023-12-01 DOI: 10.1109/MGRS.2023.3321333

Nirav Patel

引用次数: 0

The Instrumentation and Future Technology Technical Committee’s Second “Summer School”: Auckland, New Zealand [Technical Committees] 仪器仪表与未来技术技术委员会第二届 "暑期班"：新西兰奥克兰 [技术委员会］

IF 14.6 1区地球科学

IEEE Geoscience and Remote Sensing Magazine Pub Date : 2023-12-01 DOI: 10.1109/mgrs.2023.3316129

Delwyn Moller, Catherine Qualtrough, Scott Gleason, Scott Hensley, M. Moghaddam, Andrew O’Brien, Brian Pollard, Wolfgang Rack, C. Ruf, Michelangelo Villano

引用次数: 0

The IEEE Geoscience and Remote Sensing Society “Open PocketQube Kit”: An affordable open source approach to Earth observation missions [Education in Remote Sensing] 电气和电子工程师学会地球科学与遥感学会 "Open PocketQube Kit"：负担得起的地球观测任务开源方法[遥感教育］

IF 14.6 1区地球科学

IEEE Geoscience and Remote Sensing Magazine Pub Date : 2023-12-01 DOI: 10.1109/MGRS.2023.3321479

Stefan Podaru, Guillem Gracia-Sola, Adriano Camps

{"title":"The IEEE Geoscience and Remote Sensing Society “Open PocketQube Kit”: An affordable open source approach to Earth observation missions [Education in Remote Sensing]","authors":"Stefan Podaru, Guillem Gracia-Sola, Adriano Camps","doi":"10.1109/MGRS.2023.3321479","DOIUrl":"https://doi.org/10.1109/MGRS.2023.3321479","url":null,"abstract":"CubeSats are now serving a wide range of applications beyond their original educational intent. Private companies are deploying large constellations for Earth observation and machine–to–machine communications. Their growing popularity and increased performance have raised the demand for reliability and costs. Today, it is becoming increasingly difficult to find subsystems providers, and the trend is to find fully integrated platforms on the market. Therefore, paradoxically, CubeSats are becoming less accessible to universities and research institutions than a few years ago. To overcome these problems, the PocketQube concept was invented. PocketQubes measure 50 × 50 × 50 mm³ and offer a cost-effective option, notably for education. These picosatellites can perform simple missions like Internet of Things communications or upper-atmosphere observations, ionosphere studies, or signal integrity tasks, while students face design challenges similar to larger satellites. This article presents the IEEE Geoscience and Remote Sensing Society (GRSS) “Open PocketQube Kit” educational initiative. Developed by the NanoSat Lab at the Polytechnic University of Catalonia (UPC), it is an affordable open source educational kit featuring a complete PocketQube structure with all the subsystems: an electrical power supply (EPS), attitude determination and control system (ADCS), an STM32-based onboard computer (OBC), long-range (LoRa) communications, and payload. Three different PocketQube models have been developed: PoCat-1, with a video graphics array (VGA) camera, and PoCat-2 and PoCat-3 for monitoring radio-frequency interference (RFI) at the L-band (1–2 GHz) and K-band (24–25 GHz) to track 5G spectrum emissions.","PeriodicalId":48660,"journal":{"name":"IEEE Geoscience and Remote Sensing Magazine","volume":"736 ","pages":"163-170"},"PeriodicalIF":14.6,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139020652","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Staff List 工作人员名单

IF 14.6 1区地球科学

IEEE Geoscience and Remote Sensing Magazine Pub Date : 2023-12-01 DOI: 10.1109/mgrs.2023.3317555

引用次数: 0