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RSMamba: Remote Sensing Image Classification With State Space Model [PDF]
IEEE Geoscience and Remote Sensing LettersRemote sensing image classification forms the foundation of various understanding tasks, serving a crucial function in remote sensing image interpretation.
Keyan Chen +5 more
semanticscholar +1 more source
Remote sensing in forestry: current challenges, considerations and directions
Forestry: An International Journal of Forest Research, 2023 Remote sensing has developed into an omnipresent technology in the scientific field of forestry and is also increasingly used in an operational fashion.
F. Fassnacht +3 more
semanticscholar +1 more source
Erratum: Raney, R.K. Hybrid Dual-Polarization Synthetic Aperture Radar. Remote Sens. 2019, 11, 1521
Remote Sensing, 2019 Due to a technical problem, Figure 1 in [...]
Remote Sensing Editorial Office
doaj +1 more source
Acknowledgement to Reviewers of Remote Sensing in 2019
Remote Sensing, 2020 The editorial team greatly appreciates the reviewers who have dedicated their considerable time and expertise to the journal’s rigorous editorial process over the past 12 months, regardless of whether the papers are finally published or not.[...]
Remote Sensing Editorial Office
doaj +1 more source
Remote Sensing, 2015 Due to a technical error at the Editorial Office, Figure 7 of manuscript [1] was missing in the published paper. The correct version is reproduced below. We apologize for any inconvenience caused to authors or readers of Remote Sensing.[...]
Remote Sensing Editorial Office
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Remote Sensing, 2023 The key elements that underpin food security require the adaptation of agricultural systems to support productivity increases while minimizing inputs and the adverse effects of climate change. The advances in precision agriculture over the past few years
Emmanuel Omia +6 more
semanticscholar +1 more source
Seasonal Contrast: Unsupervised Pre-Training from Uncurated Remote Sensing Data [PDF]
IEEE International Conference on Computer Vision, 2021 Remote sensing and automatic earth monitoring are key to solve global-scale challenges such as disaster prevention, land use monitoring, or tackling climate change.
Oscar Mañas +4 more
semanticscholar +1 more source
Remote Sensing, 2015 The Remote Sensing Editorial Office wishes to make the following erratum to this paper [1]. [...]
Remote Sensing Editorial Office
doaj +1 more source
The Scientific World Journal, 2022 In this study, we proposed an automatic water extraction index (AWEI) threshold improvement model that can be used to detect lake surface water based on optical remote sensing data.
Fajar Yulianto +6 more
doaj +1 more source