Estimation and Simulation of Hyperspectral Images
Abstract
The goal of the research was to create enhanced practical methods to estimate and simulate hyperspectral images by using recorded data of low spectral resolution images. These data can be used to test algorithms designed for many hyperspectral image analysis tasks, such as target detection, classification and tracking. An advantage is that these images are unclassified and can be used in a university environment where international students are often used. The images are also readily defined to allow ground truth to be known so that accuracy of the image analysis tasks can be measured.
Document Details
- Document Type
- Technical Report
- Publication Date
- Nov 23, 2009
- Accession Number
- ADA520615
Entities
People
- H. J. Trussell
Organizations
- North Carolina State University