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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
YOLO-HR: Improved YOLOv5 for Object Detection in High-Resolution Optical Remote Sensing Images
Remote Sensing, 2023 Object detection is essential to the interpretation of optical remote sensing images and can serve as a foundation for research into additional visual tasks that utilize remote sensing.
Dahang Wan +5 more
semanticscholar +1 more source
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
doaj +1 more source
RS-Mamba for Large Remote Sensing Image Dense Prediction [PDF]
IEEE Transactions on Geoscience and Remote SensingContext modeling is critical for remote sensing image dense prediction tasks. Nowadays, the growing size of very-high-resolution (VHR) remote sensing images poses challenges in effectively modeling context.
Sijie Zhao +5 more
semanticscholar +1 more source
MAR20： A benchmark for military aircraft recognition in remote sensing images
National Remote Sensing Bulletin, 2023 ： Military aircraft recognition in remote sensing images locates military aircraft in remote sensing images and classify them at a fine-grained level.
Wenqi Yu +6 more
semanticscholar +1 more source
Global inequality remotely sensed [PDF]
Proceedings of the National Academy of Sciences, 2021 Significance Reliable data on economic inequality are largely limited to North America and Western Europe. As a result, we know the least about areas where inequality presents the most serious developmental policy challenge. We demonstrate that spatial variation in night-light emitted per person can reflect the distribution of income.
Bas van Bavel +5 more
openaire +8 more sources
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
doaj +1 more source
SuperYOLO: Super Resolution Assisted Object Detection in Multimodal Remote Sensing Imagery [PDF]
IEEE Transactions on Geoscience and Remote Sensing, 2022 Accurately and timely detecting multiscale small objects that contain tens of pixels from remote sensing images (RSI) remains challenging. Most of the existing solutions primarily design complex deep neural networks to learn strong feature ...
Jiaqi Zhang +5 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
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Deep Learning-Based Change Detection in Remote Sensing Images: A Review
Remote Sensing, 2022 Images gathered from different satellites are vastly available these days due to the fast development of remote sensing (RS) technology. These images significantly enhance the data sources of change detection (CD).
Ayesha Shafique +4 more
semanticscholar +1 more source