Results 11 to 20 of about 1,013,440 (361)
Remote Sensing, 2022 In the original article [...]
Remote Sensing Editorial Office
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Acknowledgment to Reviewers of Remote Sensing in 2021
Remote Sensing, 2022 Rigorous peer-reviews are the basis of high-quality academic publishing [...]
Remote Sensing Editorial Office
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Applied and Environmental Soil Science, 2011 Remote sensing has shown a high potential in soil characteristics retrieving in the last three decades. Different methodologies have been proposed for the estimation of soil parameters, based on different remote sensing sensors and techniques (passive and active).
Zribi, Mehrez, Baghdadi, N., Nolin, M.
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Remote Sensing, 2023 There was an error in the original publication [...]
Remote Sensing Editorial Office
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Remote Sensing, 2022 There was an error in the original publication [...]
Remote Sensing Editorial Office
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3D remote sensing and urban remote sensing [PDF]
International Journal of Remote Sensing, 2016 The three-dimensional (3D) shape of the Earth is of major importance for many remote-sensing applications.
Mattia Crespi +3 more
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Editorial: Remote Sensing for Aquaculture [PDF]
Frontiers in Marine Science, 2021 International ...
Gernez, Pierre +3 more
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Announcement: Remote Sensing 2017 Best Guest Editor Award
Remote Sensing, 2018 Guest Editors help invite many high-quality papers for Remote Sensing[...]
Remote Sensing Office
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Remote Sensing Image Scene Classification Meets Deep Learning: Challenges, Methods, Benchmarks, and Opportunities [PDF]
IEEE Journal of Selected Topics in Applied Earth Observations and
Remote Sensing, 13: 3735-3756, 2020, 2020 Remote sensing image scene classification, which aims at labeling remote sensing images with a set of semantic categories based on their contents, has broad applications in a range of fields. Propelled by the powerful feature learning capabilities of deep neural networks, remote sensing image scene classification driven by deep learning has drawn ...
arxiv +1 more source
Announcement: Remote Sensing 2017 Best Reviewer Award Winners
Remote Sensing, 2018 Peer review is an essential part of the publication process, ensuring that Remote Sensing maintains the high standard of its published papers[...]
Remote Sensing Office
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