Results 11 to 20 of about 3,331,007 (297)
Remote Sensing, 2023 There was an error in the original publication [...]
Remote Sensing Editorial Office
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RSGPT: A Remote Sensing Vision Language Model and Benchmark [PDF]
Isprs Journal of Photogrammetry and Remote Sensing, 2023 The emergence of large-scale large language models, with GPT-4 as a prominent example, has significantly propelled the rapid advancement of artificial general intelligence and sparked the revolution of Artificial Intelligence 2.0.
Yuan Hu +4 more
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Change Detection Methods for Remote Sensing in the Last Decade: A Comprehensive Review [PDF]
Remote Sensing, 2023 Change detection is an essential and widely utilized task in remote sensing that aims to detect and analyze changes occurring in the same geographical area over time, which has broad applications in urban development, agricultural surveys, and land cover
Guangliang Cheng +6 more
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Remote Sensing Image Scene Classification: Benchmark and State of the Art [PDF]
Proceedings of the IEEE, 2017 Remote sensing image scene classification plays an important role in a wide range of applications and hence has been receiving remarkable attention.
Gong Cheng, Junwei Han, Xiaoqiang Lu
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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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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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Acknowledgment to Reviewers of Remote Sensing in 2020
Remote Sensing, 2021 Peer review is the driving force of journal development, and reviewers are gatekeepers who ensure that Remote Sensing maintains its standards for the high quality of its published papers [...]
Remote Sensing Editorial Office
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Remote Sensing, 2020 Remote sensing image change detection (CD) is done to identify desired significant changes between bitemporal images. Given two co-registered images taken at different times, the illumination variations and misregistration errors overwhelm the real ...
Hao Chen, Zhenwei Shi
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Acknowledgement to Reviewers of Remote Sensing in 2013
Remote Sensing, 2014 The publisher and editors of the Remote Sensing would like to express their sincere gratitude to the following reviewers for assessing manuscripts in 2013 for Remote Sensing.
Remote Sensing Editorial Office
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Acknowledgment to the Reviewers of Remote Sensing in 2022
Remote Sensing, 2023 High-quality academic publishing is built on rigorous peer review [...]
Remote Sensing Editorial Office
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