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- Hyperspectral imaging and its applications: A review
Hyperspectral imaging has emerged as an effective powerful tool in plentiful military, environmental, and civil applications over the last three decades The modern remote sensing approaches are adequate for covering huge earth surfaces with phenomenal temporal, spectral, and spatial resolutions
- Hyperspectral Imaging: A Review on UAV-Based Sensors, Data . . .
Firstly, the advantages of hyperspectral data over RGB imagery and multispectral data are highlighted Then, hyperspectral acquisition devices are addressed, including sensor types, acquisition modes and UAV-compatible sensors that can be used for both research and commercial purposes
- Hyperspectral Imaging Algorithms and Applications: A Review
Comprehensive spatial and spectral information deposits in hyperspectral images acquired by sensors, cameras, and various data acquisition sources lead to a wide range of applications across
- Hyperspectral imaging and target detection algorithms: a review
As hyperspectral imaging sensors can now identify subtle materials by their spatial and spectral resolution, inference plays a significant role in hyperspectral image analysis This also leads to the extraction of unknown signal sources, so it led to the development of TCIMF
- Enhancing hyperspectral imaging - Nature Machine Intelligence
Advances in machine learning are now bringing microscopy back to the label-free regime by unlocking the potential of hyperspectral imaging where rich spectral profiles are recorded at each
- Overview of Hyperspectral Imaging Remote Sensing from . . .
Abstract: Hyperspectral imaging is a new generation of remote sensing technology for Earth observation and space exploration The detailed spectral information acquired by hyperspectral imagers can provide analysis and identification of the objects in the scene of the images
- Hyperspectral imaging and its applications: A review - Cell Press
Hyperspectral imaging has emerged as an effective powerful tool in plentiful military, environmental, and civil applications over the last three decades The modern remote sensing approaches are adequate for covering huge earth surfaces with phenomenal temporal, spectral, and spatial resolutions
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