A New Fully Constrained Least Squares-Based Fusion Approach of Optical, Thermal, and SAR Remote Sensing Data for Soil Moisture Content Estimation.
Oualid YahiaMoussa Sofiane KarouiRaffaella GuidaPublished in: IGARSS (2021)
Keyphrases
- remote sensing data
- constrained least squares
- remote sensing
- multispectral
- regularized least squares
- remote sensing images
- infrared
- hyperspectral
- synthetic aperture radar
- change detection
- land cover
- negative matrix factorization
- sar images
- regularization parameter
- data sets
- sparse representation
- least squares
- image analysis
- image segmentation