Huang, "Lossless compression of hyperspectral imagery
via clustered differential pulse code modulation with removal of local spectral outliers," IEEE Signal Processing Letters, vol.
Chunhui, Processing Techniques of Hyperspectral Imagery
, National Defense Industry Press, Beijing, China, 2013 (Chinese).
Spectral-Spatial Classification of Hyperspectral imagery
based on partitional clustering techniques, Geoscience and remote sensing, IEEE Transactions, 47(8): 2973-2987.
Using aerial photography, millstone grit and limestone appears as "rock", whereas with hyperspectral imagery
we can specify the types of rock.
Using hyperspectral imagery
tools is a huge advance in getting us the information we need to model predator vision," said Wickiser.
a commercial leader in remote sensing, is developing a space-base system that collects hyperspectral imagery
of littorals for naval forces.
STI will be leading a team of scientists, including experts from the University of Hawaii, to acquire hyperspectral imagery
and produce detailed maps of the coral reefs of Hawaii.
The $208,000 contract will see hyperspectral imagery
used to determine the condition of the waterway's wetlands.
The next step will be hyperspectral imagery
, meaning spectral performance in the hundreds of bands.
is considered as an extension of multispectral imagery and it consists of spectral information expressed on hundreds of narrow bands or channels, where each channel contains reflectance information gathered at specific wavelength.
The 13 articles address how remote sensing relates to plant functional groups (in terms of physiology, ecology and spectroscopy), assessment of carbon dynamics and the biodiversity of forests, the affects of soil type and leaf characteristics, spectral expression of gender, species classification of tropical leaf reflectance, spectral data in the study of a Sirex noctilio attack on pine forests and on exposed wood and deciduous trees, using hyperspectral imagery
to assess damage caused by logging, reflectance calibration of airborne hyperspectral spectrometer data, an assessment of phenologic variability, and remote sensing of canopy chemistry and physiology as well as biodiversity in rain forests.