Linear spectral unmixing using least squares error, orthogonal projection and simplex volume for hyperspectral images.
Hsiao-Chi LiChein-I ChangPublished in: WHISPERS (2015)
Keyphrases
- hyperspectral images
- least squares
- orthogonal projection
- hyperspectral
- hyperspectral data
- hyperspectral imagery
- spectral bands
- remote sensing
- multispectral
- hilbert space
- infrared
- multispectral images
- target detection
- exact solution
- computer vision
- high resolution
- projective space
- infinite dimensional
- information content
- change detection
- optical flow