Performance Metrics: How and When

  title={Performance Metrics: How and When},
  author={S. Israel},
  journal={Geocarto International},
  pages={23 - 32}
  • S. Israel
  • Published 2006
  • Mathematics
  • Geocarto International
  • Abstract This paper compares different classification performance metrics commonly used for environmental monitoring with remotely sensed satellite data and their associated error bounds. Discriminant functions were generated for three classifiers using common training data. Identical independent test data were classified by each discriminant function. The classified test values were evaluated by each performance metric. Each performance measure, its error bound, and its significance were… CONTINUE READING
    8 Citations
    Comparing the Effects of Annotation Type on Machine Learning Detection Performance
    • PDF
    Vision physiology applied to hyperspectral short wave infrared imaging
    Context Assumptions for Threat Assessment Systems
    • 1
    • PDF
    Toward a common lexicon for exploiting activity data
    • S. Israel
    • Computer Science
    • 2012 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)
    • 2012
    • 1
    Heartbeat biometrics: a sensing system perspective
    • 12
    • PDF
    Generative Adversarial Networks for Classification
    • 8
    Assessing and tracing the outcomes and impact of research infrastructures
    • 19
    Evaluation of ISR technologies for counter insurgency warfare
    • S. Israel
    • Computer Science
    • 2010 IEEE 39th Applied Imagery Pattern Recognition Workshop (AIPR)
    • 2010
    • 1


    Tau coefficients for accuracy assessment of classification of remote sensing data
    • 299
    A coefficient of agreement as a measure of thematic classification accuracy.
    • 816
    • PDF
    A multinomial selection procedure for evaluating pattern recognition algorithms
    • 13
    Status of land cover classification accuracy assessment
    • 3,274
    • PDF
    Discriminant Analysis and Statistical Pattern Recognition
    • 2,328
    • PDF
    On the classification of multispectral satellite images using the multilayer perceptron
    • 40
    Assessing the accuracy of remotely sensed data : principles and practices
    • 4,332
    • Highly Influential
    A land-use classification system for use with remote sensor data
    • 125
    • PDF
    The effect of training set size and composition on artificial neural network classification
    • 123
    On the compensation for chance agreement in image classification accuracy assessment, Photogram
    • 262