An ROC analysis for subpixel detection

Keyphrases

• Subpixel Target Detection 100%
• Receiver Operating Characteristic Analysis 100%
• Three-dimensional (3D) 75%
• Receiver Operating Characteristic Curve 50%
• False Alarm Rate 50%
• Abundance Fraction 50%
• Hypothesis Testing Problem 50%
• Mixed pixel Classification 25%
• Grayscale Image 25%
• Performance Evaluation 25%
• Endmember 25%
• Detection Performance 25%
• Third Dimension 25%
• Detection Probability 25%
• Detection Algorithm 25%
• Binary Hypothesis Testing 25%
• Linear Spectral Unmixing 25%
• Neyman-Pearson Detector 25%
• Detection Theory 25%
• Detection Power 25%

Mathematics

• Characteristic Curve 100%
• Hypothesis Testing Problem 100%
• Probability Theory 50%
• Detection Probability 50%
• False Alarm 50%
• Estimate Abundance 50%
• False Alarm Rate 50%

Engineering

• Receiver Operating Characteristic 100%
• Subpixels 100%
• Operating-Characteristic Curve 40%
• Illustrates 20%
• False Alarm 20%
• Detection Algorithm 20%
• Detection Performance 20%
• Endmembers 20%
• False Alarm Rate 20%
• Grayscale Image 20%
• Pearsons Linear Correlation Coefficient 20%
• Detection Probability 20%
• Detection Theory 20%