{"title":"Computer Vision for Earth Observation: The Second GRSS Image Analysis and Data Fusion School [Technical Committees]","authors":"Silvia Liberata Ullo, Gemine Vivone, Gülşen Taşkın, Ronny Hänsch, Ujjwal Verma","doi":"10.1109/mgrs.2023.3341949","DOIUrl":"https://doi.org/10.1109/mgrs.2023.3341949","url":null,"abstract":"","PeriodicalId":48660,"journal":{"name":"IEEE Geoscience and Remote Sensing Magazine","volume":null,"pages":null},"PeriodicalIF":14.6,"publicationDate":"2024-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140053416","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}
Pub Date : 2024-03-06DOI: 10.1109/mgrs.2023.3338512
Essam Heggy, Mahta Moghaddam, Elizabeth M. Palmer, William M. Brown, J. Lee Blanton, Mikołaj Kosinski, Paul Sirri, Edgar A. Dixon, Abotalib Z. Abotalib, Jonathan C. L. Normand, John Clark, Gary Klemens, Matthieu Agranier, François Guillon, Akram A. Abdellatif, Tamer Khattab, Zlatan Tsvetanov, Mohamed Shokry, Noor Al-Mulla, Mohamed Ramah, Sayed M. Bateni, Alireza Tabatabaeenejad, Jean-Philippe Avouac
{"title":"Airborne Sounding Radar for Desert Subsurface Exploration of Aquifers: Desert-SEA: Mission concept study [Space Agencies]","authors":"Essam Heggy, Mahta Moghaddam, Elizabeth M. Palmer, William M. Brown, J. Lee Blanton, Mikołaj Kosinski, Paul Sirri, Edgar A. Dixon, Abotalib Z. Abotalib, Jonathan C. L. Normand, John Clark, Gary Klemens, Matthieu Agranier, François Guillon, Akram A. Abdellatif, Tamer Khattab, Zlatan Tsvetanov, Mohamed Shokry, Noor Al-Mulla, Mohamed Ramah, Sayed M. Bateni, Alireza Tabatabaeenejad, Jean-Philippe Avouac","doi":"10.1109/mgrs.2023.3338512","DOIUrl":"https://doi.org/10.1109/mgrs.2023.3338512","url":null,"abstract":"","PeriodicalId":48660,"journal":{"name":"IEEE Geoscience and Remote Sensing Magazine","volume":null,"pages":null},"PeriodicalIF":14.6,"publicationDate":"2024-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140053443","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}
Pub Date : 2024-01-04DOI: 10.1109/mgrs.2023.3343968
Xiaoyue Xing, Bailang Yu, Chaogui Kang, Bo Huang, Jianya Gong, Yu Liu
{"title":"The Synergy Between Remote Sensing and Social Sensing in Urban Studies: Review and perspectives","authors":"Xiaoyue Xing, Bailang Yu, Chaogui Kang, Bo Huang, Jianya Gong, Yu Liu","doi":"10.1109/mgrs.2023.3343968","DOIUrl":"https://doi.org/10.1109/mgrs.2023.3343968","url":null,"abstract":"","PeriodicalId":48660,"journal":{"name":"IEEE Geoscience and Remote Sensing Magazine","volume":null,"pages":null},"PeriodicalIF":14.6,"publicationDate":"2024-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139945942","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}
Pub Date : 2023-12-28DOI: 10.1109/mgrs.2023.3343623
Haoyu Wang, Xiaofeng Li
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.
{"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":null,"pages":null},"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}
Pub Date : 2023-12-21DOI: 10.1109/mgrs.2023.3335631
Mariko Burgin
How time flies! With the end of 2023 (and the first year of my presidency) approaching, it is an opportune time to reflect on 2023 and look ahead to 2024 (and the second [and last] year of my presidency).
{"title":"Letter From the President [President’s Message]","authors":"Mariko Burgin","doi":"10.1109/mgrs.2023.3335631","DOIUrl":"https://doi.org/10.1109/mgrs.2023.3335631","url":null,"abstract":"How time flies! With the end of 2023 (and the first year of my presidency) approaching, it is an opportune time to reflect on 2023 and look ahead to 2024 (and the second [and last] year of my presidency).","PeriodicalId":48660,"journal":{"name":"IEEE Geoscience and Remote Sensing Magazine","volume":null,"pages":null},"PeriodicalIF":14.6,"publicationDate":"2023-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139659887","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}
Pub Date : 2023-12-21DOI: 10.1109/mgrs.2023.3338312
{"title":"Tech RXIV: Share Your Preprint Research with the World!","authors":"","doi":"10.1109/mgrs.2023.3338312","DOIUrl":"https://doi.org/10.1109/mgrs.2023.3338312","url":null,"abstract":"","PeriodicalId":48660,"journal":{"name":"IEEE Geoscience and Remote Sensing Magazine","volume":null,"pages":null},"PeriodicalIF":14.6,"publicationDate":"2023-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142204945","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}
Pub Date : 2023-12-01DOI: 10.1109/mgrs.2023.3314450
L. Karthikeyan, A. Bhattacharya, J. Judge, S. Yueh
{"title":"The Second International Soil Moisture School [Conference Reports]","authors":"L. Karthikeyan, A. Bhattacharya, J. Judge, S. Yueh","doi":"10.1109/mgrs.2023.3314450","DOIUrl":"https://doi.org/10.1109/mgrs.2023.3314450","url":null,"abstract":"","PeriodicalId":48660,"journal":{"name":"IEEE Geoscience and Remote Sensing Magazine","volume":null,"pages":null},"PeriodicalIF":14.6,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139017928","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}
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