Climate-smart agriculture (CSA) is a focal point in agricultural and climate policies, with key goals including mitigating greenhouse gas (GHG) emissions, ...
Abstract: Remote sensing image restoration (RSIR) is essential for recovering high-fidelity imagery from degraded observations, enabling accurate downstream analysis. However, most existing methods ...
Using seven decades of global research papers, NYU Tandon researchers found that China makes up 47% of publications in remote sensing — a science that uses specialized sensors to gather data from ...
1 School of Agriculture and Environmental Science, University of Southern Queensland, Toowoomba, Australia. 2 Irrigation and Water Management Division, Bangladesh Rice Research Institute (BRRI), ...
Abstract: The remote sensing scene classification is critical in a wide range of applications. A significant number of studies have adopted deep learning methods for scene classification from remote ...
Abstract: Object detection is an important part of remote sensing image analysis to accurately identify key features in Earth observation data while minimizing resource usage. However, challenges such ...
The framework of the proposed RSVG-ZeroOV. Please set up the Qwen model and its runtime environment following the official Qwen documentation https://huggingface.co ...
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