A comparative study of hyperspectral unmixing using different algorithm approaches
Hyperspectral unmixing (HU) is an important technique for remotely sensed hyperspectral data exploitation. Hyperspectral unmixing is required to get an accurate estimation due to low spatial resolution of hyperspectral cameras, microscopic material mixing, and multiple scattering that cause spectra...
Saved in:
Main Authors: | Mohd Yusof, Ain Zat (Author), Abdul Manap, Redzuan (Author), Majid Darsono, Abdul (Author) |
---|---|
Format: | EJournal Article |
Published: |
Institute of Advanced Engineering and Science,
2020-11-01.
|
Subjects: | |
Online Access: | Get fulltext |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
MCMC Algorithms for Supervised and Unsupervised Linear Unmixing of Hyperspectral Images
by: Dobigeon, N.
Published: (2013) -
Hyperspectral Image Unmixing Incorporating Adjacency Information
by: Bauer, Sebastian
Published: (2018) -
Supervised Nonlinear Unmixing of Hyperspectral Images Using a Pre-image Methods
by: Nguyen, N.H
Published: (2013) -
Dimensionality Reduction and Classification of Hyperspectral Images using Genetic Algorithm
by: Kiran Kumar, R., et al.
Published: (2016) -
Hyperspectral Image Classification
by: Gogineni, Rajesh, et al.
Published: (2019)