Hypercube Waveband Registration: Difference between revisions
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= Introduction = | = Introduction = | ||
Hyperspectral imaging allows us to visualize a vast portion of the electromagnetic spectrum and detect information that would otherwise be invisible to the naked eye. Hyperspectral sensors are able to extend its spectral footprint significantly beyond the visible red, green, and blue bands into the infrared region. The availability of sensor data at a large number of spectral bands generates | == Hyperspectral Imaging == | ||
Hyperspectral imaging allows us to visualize a vast portion of the electromagnetic spectrum and detect information that would otherwise be invisible to the naked eye. Hyperspectral sensors are able to extend its spectral footprint significantly beyond the visible red, green, and blue bands into the infrared region. The availability of sensor data at a large number of spectral bands generates a three-dimensional hypercube whose levels represent the different spectral bands and whose values at each level represent the sensor-detected light intensity at the corresponding pixel location at that specific band. Analyzing information presented by these additional spectral bands may lead to additional insight on a particular object or scene. For example, different materials have different spectral signatures. The existence of certain material in a scene or an object may be much more evident in a particular waveband than others. | |||
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= Methods = | = Methods = | ||
Revision as of 10:23, 17 March 2012
Hypercube Waveband Registration (under construction)
Project Title - Introduces idea
Introduction
Hyperspectral Imaging
Hyperspectral imaging allows us to visualize a vast portion of the electromagnetic spectrum and detect information that would otherwise be invisible to the naked eye. Hyperspectral sensors are able to extend its spectral footprint significantly beyond the visible red, green, and blue bands into the infrared region. The availability of sensor data at a large number of spectral bands generates a three-dimensional hypercube whose levels represent the different spectral bands and whose values at each level represent the sensor-detected light intensity at the corresponding pixel location at that specific band. Analyzing information presented by these additional spectral bands may lead to additional insight on a particular object or scene. For example, different materials have different spectral signatures. The existence of certain material in a scene or an object may be much more evident in a particular waveband than others. ==
Methods
- What you did
Results
- What you found
Conclusions
- What it means
References
- Skauli, Torbjorn. Hyperspectral Sensor Technology. Norwegian Defence Research Establishment.
Appendix I
- Code and Data
Appendix II
- Work partition (if a group project)