Table 1. Computational comparison of SR architectures. Additionally, computational overhead remains prohibitive for edge deployment. Existing efficient methods (Wang et al., 2024) require L sequential ...

1 School of Agriculture and Environmental Science, University of Southern Queensland, Toowoomba, Australia. 2 Irrigation and Water Management Division, Bangladesh Rice Research Institute (BRRI), ...

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 ...

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 ...

Modern-day precision agriculture relies heavily on sensor technology, and among these, remote sensing is the most widely used tool. The term remote sensing consists of two words, “remote”, which means ...

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 ...

The historian Daniel Immerwahr says that Trump’s embrace of imperialist adventuring is not just about business interests—it’s an appeal to masculinity which “seems to sell.” The star discusses some of ...