Spatial Spatial Hyperspectral Sensing Imaging Spectroscopy What is Hyperspectral Sensing Z Spectral Bands X Y Data Cube a way to visualize the data Multispectral Hyperspectral ID: 559204
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Slide1
Spectral, 100 – 200+ bands
Spatial
Spatial
Hyperspectral Sensing
– Imaging SpectroscopySlide2
What is Hyperspectral Sensing?Slide3
Z = Spectral Bands
X
Y
Data Cube
– a way to visualize the dataSlide4
MultispectralHyperspectral
Reflectance
Wavelength
Wavelength
Continuous spectrum
Discrete bands
Reflectance
Each pixelSlide5
Multispectral vs. Hyperspectral Data
Wavelength
Reflectance
Multispectral,
e.g., Landsat TM
Hyperspectral,
e.g., AVIRISSlide6
Diagnostic / identifying characteristics are lost in wide bands
Spectra of two materials with (very) different reflectance and absorption properties.
If sensed with a wide band,
they will have the same response and cannot be discriminated or identified.
Wavelength
ReflectanceSlide7
Imaging Spectrometry ConceptSlide8
Wavelength
Reflectance
Analysis of Hyperspectral Data
-- Approaches
Direct identification using diagnostic absorption and reflection features
Comparison to laboratory and field measured spectra
Slide9
Crop Identification and Inventory
based solely on the spectraSlide10
Reflectance Spectra of Minerals
Wavelength,
μ
m
Relative ReflectanceSlide11
Mineral Detection and Mapping
Reflectance
Wavelength,
μ
mSlide12
True Color Image
Mineral Maps from Hyperspectral DataSlide13
University of Minnesota, Remote Sensing Lab and Water Resources Center
River Airborne
Hyperspectral Remote
Sensing
1.5
2
2.5
3
3.5
4
4.5
5
5.5
400
500
600
700
800
900
Wavelength (nm)
Reflectance %
Confluence of
Minnesota and
Mississippi
RiversSlide14Slide15
Satellite Hyperspectral SensorsHyperion
On E0-1 (NASA) satellite
220 bands, 0.4 – 2.5 μm12-bit radiometric resolution30 m spatial resolution
7.5 km swath (= narrow)Slide16
SummaryHyperspectral sensing and analysis provides increased information compared to multispectral data
A fast growing technology - New sensors, new classification algorithms, and new image processing algorithms are being developed
Applications are being developed as the technology develops
Wavelength,
μm
Reflectance