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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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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
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Self-Supervised Learning in Remote Sensing: A review [PDF]
IEEE Geoscience and Remote Sensing Magazine, 2022 In deep learning research, self-supervised learning (SSL) has received great attention, triggering interest within both the computer vision and remote sensing communities.
Yi Wang +4 more
semanticscholar +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
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Acknowledgement to Reviewers of Remote Sensing in 2014
Remote Sensing, 2015 The editors of the Remote Sensing office would like to express their sincere gratitude to the following reviewers for assessing manuscripts in 2014:[...]
Remote Sensing Editorial Office
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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
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
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RECENT RESULTS FROM EO STUDIES ON INDIAN CARBON CYCLE ASSESSMENT [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012 The monsoon based climate system, diverse land use and land cover distribution and cultural practices poses complex issues in monitoring, assessment and simulation of Indian carbon cycle.
V. K. Dadhwal +13 more
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An Empirical Study of Remote Sensing Pretraining [PDF]
IEEE Transactions on Geoscience and Remote Sensing, 2022 Deep learning has largely reshaped remote sensing (RS) research for aerial image understanding and made a great success. Nevertheless, most of the existing deep models are initialized with the ImageNet pretrained weights.
Di Wang +4 more
semanticscholar +1 more source