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 ...
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 ...
Abstract: Multimodal remote sensing classification benefits from the complementary properties of different sensing modalities. However, most existing methods prioritize spatial and channel-wise ...
1 Uluslararası Coğrafi Mekansal Zeka Araştırmaları Derneği, Ankara, Türkiye. 2 Krieger School of Arts and Sciences, Johns Hopkins University, Baltimore, MD, USA. 3 Faculty of Engineering, Çankaya ...
1 School of Integrated Circuits, Guangdong University of Technology, Guangzhou, China 2 School of Computer Science, Xi'an University of Technology, Xi'an, China Introduction: The rapid advancement of ...
A Kuaizhou-1A modified rocket lifts off from Xichang spaceport, July 31 UTC, 2025, carrying the Pakistan's PRSS-01 remote sensing satellite. Credit: Expace HELSINKI — China launched a remote sensing ...
ABSTRACT: Rapid urbanization and industrial growth reshaped the landscape, making the environment and human life increasingly vulnerable. This study undergoes future land use prediction, which is ...
In an era defined by unpredictability, from sudden gray zone incursions to disinformation campaigns and global information threats, speed is no longer a luxury for national security intelligence. It ...
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