Pub Date : 2023-06-01DOI: 10.1109/mgrs.2014.2367411
Special issue on " Data fusion in remote sensing " Data fusion is one of the fast moving areas of remote sensing image analysis. Fusing data coming from different sensors, at different resolutions, and of different quality is compulsory to meet the needs of society, which requires end-user products reflecting environmental problems that are naturally spatial, multiscale, evolving in time and observed at a discontinuous frequency. This special issue will present a series of overview and tutorial-like papers about the latest advances in remote sensing data fusion. The focus of the contributions to the special issue will be on reviewing the current progress, on highlighting the latest trends that have been proposed in the literature to answer the needs of multisensory processing, and on pointing out the strategies to be thought to answer the information deluge which will come with the latest missions launched (or to be launched). Particular attention will be paid to the questions of multiresolution, multisensor, and multitemporal processing, while still covering the problems of missing data reconstruction and data assimilation with physical models. Consistently with the approach and style of the Magazine, the contributors to the special issue will pay strong attention to tuning the discussion level to a correct trade-off between ensuring scientific depth and disseminating to a wide public that would encompass remote sensing scientists, practitioners, and students, and include non-data-fusion specialists.
{"title":"Call for Papers: IEEE Geoscience and remote sensing magazine","authors":"","doi":"10.1109/mgrs.2014.2367411","DOIUrl":"https://doi.org/10.1109/mgrs.2014.2367411","url":null,"abstract":"Special issue on \" Data fusion in remote sensing \" Data fusion is one of the fast moving areas of remote sensing image analysis. Fusing data coming from different sensors, at different resolutions, and of different quality is compulsory to meet the needs of society, which requires end-user products reflecting environmental problems that are naturally spatial, multiscale, evolving in time and observed at a discontinuous frequency. This special issue will present a series of overview and tutorial-like papers about the latest advances in remote sensing data fusion. The focus of the contributions to the special issue will be on reviewing the current progress, on highlighting the latest trends that have been proposed in the literature to answer the needs of multisensory processing, and on pointing out the strategies to be thought to answer the information deluge which will come with the latest missions launched (or to be launched). Particular attention will be paid to the questions of multiresolution, multisensor, and multitemporal processing, while still covering the problems of missing data reconstruction and data assimilation with physical models. Consistently with the approach and style of the Magazine, the contributors to the special issue will pay strong attention to tuning the discussion level to a correct trade-off between ensuring scientific depth and disseminating to a wide public that would encompass remote sensing scientists, practitioners, and students, and include non-data-fusion specialists.","PeriodicalId":48660,"journal":{"name":"IEEE Geoscience and Remote Sensing Magazine","volume":null,"pages":null},"PeriodicalIF":14.6,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/mgrs.2014.2367411","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47691427","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 : 2023-06-01DOI: 10.1109/mgrs.2023.3267850
G. Vivone, D. Lunga, F. Sica, G. Taşkın, Ujjwal Verma, R. Hänsch
{"title":"Computer Vision for Earth Observation—The First IEEE GRSS Image Analysis and Data Fusion School [Technical Committees]","authors":"G. Vivone, D. Lunga, F. Sica, G. Taşkın, Ujjwal Verma, R. Hänsch","doi":"10.1109/mgrs.2023.3267850","DOIUrl":"https://doi.org/10.1109/mgrs.2023.3267850","url":null,"abstract":"","PeriodicalId":48660,"journal":{"name":"IEEE Geoscience and Remote Sensing Magazine","volume":null,"pages":null},"PeriodicalIF":14.6,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44613067","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 : 2023-06-01DOI: 10.1109/mgrs.2023.3277221
P. Gamba
{"title":"Why Does GRSM Require the Submission of White Papers? [From the Editor]","authors":"P. Gamba","doi":"10.1109/mgrs.2023.3277221","DOIUrl":"https://doi.org/10.1109/mgrs.2023.3277221","url":null,"abstract":"","PeriodicalId":48660,"journal":{"name":"IEEE Geoscience and Remote Sensing Magazine","volume":null,"pages":null},"PeriodicalIF":14.6,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44133422","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 : 2023-06-01DOI: 10.1109/mgrs.2023.3267904
D. Lunga, S. Ullo, Ujjwal Verma, G. Percivall, F. Pacifici, R. Hänsch
{"title":"Analysis-Ready Data and FAIR-AI—Standardization of Research Collaboration and Transparency Across Earth-Observation Communities [Technical Committees]","authors":"D. Lunga, S. Ullo, Ujjwal Verma, G. Percivall, F. Pacifici, R. Hänsch","doi":"10.1109/mgrs.2023.3267904","DOIUrl":"https://doi.org/10.1109/mgrs.2023.3267904","url":null,"abstract":"","PeriodicalId":48660,"journal":{"name":"IEEE Geoscience and Remote Sensing Magazine","volume":null,"pages":null},"PeriodicalIF":14.6,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44012173","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 : 2023-06-01DOI: 10.1109/mgrs.2023.3275984
Nirav Patel
{"title":"Generative Artificial Intelligence and Remote Sensing: A perspective on the past and the future [Perspectives]","authors":"Nirav Patel","doi":"10.1109/mgrs.2023.3275984","DOIUrl":"https://doi.org/10.1109/mgrs.2023.3275984","url":null,"abstract":"","PeriodicalId":48660,"journal":{"name":"IEEE Geoscience and Remote Sensing Magazine","volume":null,"pages":null},"PeriodicalIF":14.6,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41464445","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 : 2023-03-01DOI: 10.1109/mgrs.2022.3229303
Stephanie Tumampos, S. Kefauver
After more than two years of hard lockdowns and restricted mobility, the whole world carefully returns to normalcy. With this, the IEEE Geoscience and Remote Sensing Society (GRSS) Inspire, Develop, Empower, and Advance (IDEA) Committee took the opportunity to attend two conferences in person, continuing its campaign for inclusivity and diversity.
{"title":"The IEEE GRSS IDEA Committee: Championing Diversity in Adversity [Women in GRSS]","authors":"Stephanie Tumampos, S. Kefauver","doi":"10.1109/mgrs.2022.3229303","DOIUrl":"https://doi.org/10.1109/mgrs.2022.3229303","url":null,"abstract":"After more than two years of hard lockdowns and restricted mobility, the whole world carefully returns to normalcy. With this, the IEEE Geoscience and Remote Sensing Society (GRSS) Inspire, Develop, Empower, and Advance (IDEA) Committee took the opportunity to attend two conferences in person, continuing its campaign for inclusivity and diversity.","PeriodicalId":48660,"journal":{"name":"IEEE Geoscience and Remote Sensing Magazine","volume":null,"pages":null},"PeriodicalIF":14.6,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46634270","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}