Quantitative Detection of Settled Dust over Green Canopy Using Sparse Unmixing of Airborne Hyperspectral Data

Keyphrases

• Airborne Hyperspectral Images 100%
• Quantitative Detection 100%
• Non-negative Matrix Factorization 100%
• Sparse Unmixing 100%
• Settled Dust 100%
• Hyperspectral 80%
• Imagery Data 40%
• Sparsity-constrained 40%
• Green Vegetation 20%
• Environmental Applications 20%
• Dust 20%
• Alternating Least Squares 20%
• Spectral Signature 20%
• Unmixing 20%
• Gradient Projection 20%
• Vegetation Canopy 20%
• Earth Surface 20%
• Structured Sparse Representation 20%
• Unmixing Problem 20%
• Airborne Data 20%
• 4-graphs 20%
• Graph Regularized 20%
• Hyperspectral Unmixing 20%
• New Paths 20%
• Quantitative Classification 20%
• Geoscience Applications 20%
• Advanced Algorithm 20%

Earth and Planetary Sciences

• Spectral Signature 100%
• Earth Science 100%
• Canopy (Vegetation) 100%
• Earth Surface 100%