Hyperspectral Imaging AUTO3160 Optics Staffan Järn Introduction Measurement of object properties on the earths surface using data acuired from aircraft and satellites Passive remote sensing ID: 398868
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Slide1
Remote SensingHyperspectral Imaging
AUTO3160 – Optics
Staffan JärnSlide2
Introduction
Measurement of object properties on the earth’s surface using data acuired from aircraft and satellites
Passive remote sensing
Natural radiation that is emitted or reflected by the object or surrounding areas
Reflected sunlight is the most common radiation measured
Active remote sensing
Emits energy
Detects and measures the radiation that is reflected or backscattered from the target.
RADAR and LiDAR systems measures time delay to establish the location, height, speed and direction of an object. Slide3
History
1858 - Photographs of Paris from balloon
1972
- Landsat Multispectral Scanner System (MSS) satellite.
High resolution earth images with 4 spectral bands. Each about 100 nm wide.
80 m pixel size. 185 x 185 km
Today
Hundreds of images of the same area in 10nm spectral bands
Spectrum from 400 to 2400 nm
Advanced Visible/InfraredRed Imaging Spectrometer (AVIRIS), airborne
HyMap, airborne
Hyperion, satelliteSlide4
Applications
Environmental monitoring (urban growth, hazardous waste)
Global change (global warming, deforestation)
Agriculture (crop condition, yield prediction)
Nonrenewable natural resources (wetlands, soils, forests, oceans)
Meteorology (atmosphere dynamics, weather prediction)
Mapping (topography, land use, civil engineering)
Military surveillance (strategic policy, tactical assessment)
News media (illustrations, analysis) Slide5
Multispectral & Hyperspectral Imaging
Both are related
Difference in number of bands
Depending on what is appropriate to the purpose
Multispectral
Discrete and narrow bands
Spectrum from visible to longwave infrared
Hyperspectral
Imaging narrow spectral bands over a continuous spectral range, and produce the spectra of all pixels in the sceneSlide6
Hyperspectral Imaging
Collect image data in multiple narrow spectral bands
Possible to derive a continuous spectrum for each image cellSlide7
Hyperspectral Imaging
In reflected-light spectroscopy the property wanted to obtain is called Spectral Reflectance.
The ratio of reflected energy as a function of wavelength
Reflectance varies with wavelength for most materials because energy at certain wavelengths is scattered or absorbed to different degrees.
Absorption bandsSlide8Slide9
Result
Image cube for spatial-spectra data Slide10
Table of Remote Sensing systemsSlide11Slide12
Sources
Remote Sensing, Models and Methods for Image Processing – R.A. Schowengerdt
Introduction to Hyperspectral Imaging, pdf document from AUTO3090 Chemometrics course
Wikipedia – Remote Sensing -
http://
en.wikipedia.org/wiki/Remote_sensing
Wikipedia - Hyperspectral
Imaging -
http://
en.wikipedia.org/wiki/Hyperspectral_imaging