Hyperspectral images (HSIs) are gradually playing an important role in many fields because of their ability to obtain spectral information. However, sensor response differences and other reasons may ...
Dimensionality Reduction (DR) is an indispensable step to enhance classifier accuracy with data redundancy in hyperspectral images (HSI). This paper proposes a framework for DR that combines band ...
A groundbreaking study by researchers from a number of institutions in China introduces a novel hyperspectral remote sensing technique capable of hour-hectometer level horizontal distribution of trace ...
Marine vessels are indispensable to the global economy, transporting over 80% of goods worldwide. However, their emissions, including sulfur oxides (SOₓ), nitrogen oxides (NOₓ), particulate matter, ...
The Digital Imaging and Remote Sensing Laboratory conducted a data collection campaign to gather multi-modal imagery data in collaboration with SpecTIR, LLC, Kucera International, and a dedicated team ...
Hyperspectral remote sensing image of the Salt River in Arizona. Credit: ©2025 Xplore Inc. All rights reserved SAN FRANCISCO – Xplore Inc. unveiled hyperspectral ...
China's rapid urbanization has escalated air pollution, notably nitrogen dioxide (NO2), which impacts health and the environment. Traditional monitoring methods lack the granularity needed to capture ...
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