Existing algorithms can partially reconstruct the shape of a single tree from a clean point-cloud dataset acquired by ...
An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...
Abstract: Core image processing tasks, such as super-resolution, denoising, deblurring, pansharpening, and atmospheric correction, underpin all optical remote sensing (RS) pipelines. Errors at this ...
Semantic segmentation of remote sensing images is pivotal for comprehensive Earth observation, but the demand for interpreting new object categories, coupled with the high expense of manual annotation ...
Nina Haikara of University of Toronto News writes: Researchers from the University of Toronto’s John H. Daniels Faculty of Architecture, Landscape, and Design have conducted an in-depth analysis of ...
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 ...
Light Publishing Center, Changchun Institute of Optics, Fine Mechanics And Physics, CAS As the demand for artificial intelligence (AI) computing continues to rise, traditional electronic processors ...
1 Qingdao Huanghai University, Qingdao, China 2 College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao, China High-resolution remote sensing imagery is a powerful ...
Automated textual description of remote sensing images is essential for applications such as environmental monitoring, urban planning, and disaster management. However, most existing methods only ...
The third Long March 7A rocket lifts off from Wenchang, Dec. 23, 2021, carrying two Shiyan-12 satellites. Credit: CASC/Liu Yan HELSINKI — Chinese spacecraft have imaged orbiting U.S. commercial and ...
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