The estimation of noise covariance matrix in hyperspectral remotely sensed images

Keyphrases

• Hyperspectral 100%
• Remote Sensing Image 100%
• Noise Covariance Matrix 100%
• Least Squares 66%
• Neighboring pixels 33%
• Detection Performance 33%
• Least Squares Approach 33%
• Estimation Method 33%
• Sum-to-one Constraint 33%
• Scene Image 33%
• High-pass Filter 33%
• AVIRIS 33%
• Fully Constrained Least Squares 33%
• Target Detection Algorithm 33%
• Hyperspectral Remote Sensing 33%
• Nonnegative Constraint 33%
• AVIRIS Images 33%

Computer Science

• Least Squares Method 100%
• Covariance Matrix 100%
• Frequency Domain 25%
• Spatial Domain 25%
• Computer Simulation 25%
• Detection Algorithm 25%
• Estimation Method 25%
• Quantitative Comparison 25%
• Detection Performance 25%

Medicine and Dentistry

• Least Square Analysis 100%
• Base 25%
• Remote Sensing 25%