@article{Kerekes2008_1,<BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Abstract = {Many researchers have presented results showing the
empirical performance of target detection algorithms using hyperspectral
or synthetic aperture radar imagery. In nearly all cases,
these probabilities of detection and false alarm are presented as
precise values as opposed to their true nature as estimates of
random values. In this letter, we provide analytical tools and examples
of computing confidence intervals and regions around these
estimates commonly presented as points on receiver operating
characteristic (ROC) curves. It is suggested that these tools be
adopted by researchers when presenting their results to provide
their audience with a quantitative metric for proper interpretation
of empirically estimated ROC curves.},<BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Author = {John P. Kerekes},<BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Journal = {IEEE Geoscience and Remote Sensing Letters},<BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Keywords = {confidence intervals},<BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Month = {},<BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Number = {2},<BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Pages = {251--255},<BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Title = {Receiver Operating Characteristic Curve Confidence Intervals and Regions},<BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Url = {dirsapps.cis.rit.edu/roc/},<BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Volume = {5},<BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Year = {2008}}