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Impacts of ignorance on the accuracy of image classification and thematic mapping [PDF]
Thematic maps are often derived from remotely sensed imagery via a supervised image classification analysis. The training and testing stages of a supervised image classification may proceed ignorant of the presence of some classes in the region to be mapped.
Giles Foody
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Bayesian analysis of thematic map accuracy data
Remote Sensing of Environment, 2009The analysis of thematic accuracy of maps and classifications relies on the interpretation of the error matrix. The statistical basis of the analysis has to date been from a frequentist point of view. An alternative Bayesian approach, described here, has a number of attractive features.
Kerrie Mengersen
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Selecting and interpreting measures of thematic classification accuracy
Remote Sensing of Environment, 1997Abstract An error matrix is frequently employed to organize and display information used to assess the thematic accuracy of a land-cover map, and numerous accuracy measures have been proposed for summarizing the information contained in this error matrix.
Stephen V Stehman
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Comparative assessment of the measures of thematic classification accuracy
Remote Sensing of Environment, 2007Accuracy assessment of classified imagery is an important task in remote sensing. Various measures have been developed to describe and compare the accuracy of maps and the performance of different classifiers, but the extent to which these measures are consistent with each other is largely unknown.
Canran Liu, Lalit Kumar
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Comparison of Planimetric and Thematic Accuracy of OrbView-3 and IKONOS Images
Spatial mapping from space using high-resolution satellite sensor data instead of conventional data collection techniques widely gained popularity. This study aims to analyze the planimetric and thematic accuracy of high-resolution OrbView-3 and IKONOS orthoimages.
Mustafa Yanalak +2 more
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