A new artificial intelligence method can describe changes in satellite images even when the images are rotated or spatially ...
Abstract: Remote sensing image restoration (RSIR) is essential for recovering high-fidelity imagery from degraded observations, enabling accurate downstream analysis. However, most existing methods ...
CPAD: Continuous Pre-training for Infrared Images with Advances in Data, Preprocessing, and Paradigm
Abstract: Infrared remote sensing imagery has emerged as a critical data source in environmental perception and intelligent monitoring, with significant potential in scenarios requiring robust ...
WEST LAFAYETTE, Ind. — Existing algorithms can partially reconstruct the shape of a single tree from a clean point-cloud dataset acquired by laser-scanning technologies. Doing the same with forest ...
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 ...
Our model can be obtained from this Hugging Face link RS2-SAM 2 · HF. "rrsisd" refers to the model trained on the RRSIS-D dataset, and "refseg" refers to the model trained on the RefSegRS dataset.
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