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Multispectral vs. Hyperspectral Imaging – Enhancing Vegetation Mapping Accuracy

Multispectral vs. Hyperspectral Imaging – Enhancing Vegetation Mapping Accuracy

8/1/2023

Data from multispectral satellite constellations like Landsat and SPOT have long been utilized for land use mapping and vegetation classification. Sentinel-2 builds on this legacy, providing similar moderate-resolution data acquired in broad spectral bands that cover visible, near infrared, and short-wave infrared wavelengths. Even though... Read More >
Hyperspectral Classification Workflows Integrating Dimensionality Expansion for Multispectral Imagery

Hyperspectral Classification Workflows Integrating Dimensionality Expansion for Multispectral Imagery

3/30/2021

Authors: Daniel C. Heinz, Thomas Bahr and Greg Terrie (NV5) Many methods have been developed for target detection and classification in hyperspectral imagery. However, application of these methods to multispectral imagery presents a challenging problem due to a relatively low number of spectral bands available for analysis. Since a... Read More >