Student Work
Hyperspectral imaging -- effects of compression on classification
PublicHyperspectral imaging is a technology used to identify objects by analyzing their spectral signatures. The goal of this project is to examine the effects of spatial and spectral compression on classification of hyperspectral cubes. A software package was developed to generate synthetic hyperspectral cubes in order to isolate the effect of spatial and spectral compression. It is shown that there is a certain amount of compression that can be applied before important information is lost and classification is rendered inaccurate.
- This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.
- Creator
- Publisher
- Identifier
- 03D025M
- Advisor
- Year
- 2003
- Center
- Sponsor
- Date created
- 2003-01-01
- Resource type
- Major
- Rights statement
Relations
- In Collection:
Items
Permanent link to this page: https://digital.wpi.edu/show/pk02cd71g