RingMo-lite: A remote sensing multi-task lightweight network with CNN-transformer hybrid framework

Turnitin 降AI改写 早检测系统 早降重系统 Turnitin-UK版 万方检测-期刊版 维普编辑部版 Grammarly检测 Paperpass检测 checkpass检测 PaperYY检测

Mesam: Multiscale enhanced segment anything model for optical remote sensing images

X Zhou, F Liang, L Chen, H Liu, Q Song… - … on Geoscience and …, 2024 - ieeexplore.ieee.org
Segment anything model (SAM) has been widely applied to various downstream tasks for its
excellent performance and generalization capability. However, SAM exhibits three …
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Remote sensing change detection with bitemporal and differential feature interactive perception

H Chang, P Wang, W Diao, G Xu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Recently, the transformer has achieved notable success in remote sensing (RS) change
detection (CD). Its outstanding long-distance modeling ability can effectively recognize the …
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Efficient networks for textureless feature registration via free receptive field

Y Ma, M Yu, H Lin, C Liu, M Hu, Q Song - Information Fusion, 2024 - Elsevier
In the real-world scenarios, challenges such as changes in viewpoint, variations in lighting
conditions, and the presence of blur effects are pervasive issues faced in the field of image …
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Synthetic Aperture Radar in Agriculture With AI-Enhanced Techniques for Crop Classification, Crop Monitoring, and Yield Prediction

MSGZ Hashemi - 2024 - search.proquest.com
This PhD research advances the application of high-resolution Synthetic Aperture Radar
(SAR) and other satellite remote sensing technologies in agriculture, particularly focusing on …
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