Statistical methods for accuracy assesment of classified thematic maps pdfkeywords=statistics, data analysis
نویسنده
چکیده
3 Multinomial tests of accuracy 6 3.1 Naïve measures of agreement . . . . . . . . . . . . . . . . . . . 8 3.2 The weighted confusion matrix . . . . . . . . . . . . . . . . . . 11 3.3 The kappa index of agreement . . . . . . . . . . . . . . . . . . 13 3.4 Conditional kappa . . . . . . . . . . . . . . . . . . . . . . . . . . 18 3.5 Weighted kappa . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 3.6 The tau index . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20
منابع مشابه
Statistical methods for accuracy assesment of classified thematic maps pdfkeywords
3 Multinomial tests of accuracy 7 3.1 Naïve measures of agreement . . . . . . . . . . . . . 9 3.2 The weighted confusion matrix . . . . . . . . . . . . 12 3.3 The kappa index of agreement . . . . . . . . . . . . . 15 3.4 Conditional kappa . . . . . . . . . . . . . . . . . . . . 19 3.5 Weighted kappa . . . . . . . . . . . . . . . . . . . . . 20 3.6 The tau index . . . . . . . . . . . . . . . . ....
متن کاملChapter 5: Accuracy assessment of maps of forest condition: Statistical design and methodological considerations
No thematic map is perfect. Some pixels or polygons are not accurately classified, no matter how well the map is crafted. Therefore, thematic maps need metadata that sufficiently characterize the nature and degree of these imperfections. To decision-makers, an accuracy assessment helps judge the risks of using imperfect geospatial data. To analysts, an accuracy assessment helps describe the rel...
متن کاملExtraction of Field Boundary Information from Classified Satellite Images
Remotely sensed images and the thematic maps derived from such images are invaluable sources of information for GIS databases, in terms of providing spatial and temporal information about the nature of Earth surface materials and objects. One of the techniques that has emerged recently, and which has made a great impact on scientific community, is that of artificial neural networks (ANNs). ANNs...
متن کاملChange Detection in Urban Area Using Decision Level Fusion of Change Maps Extracted from Optic and SAR Images
The last few decades witnessed high urban growth rates in many countries. Urban growth can be mapped and measured by using remote sensing data and techniques along with several statistical measures. The purpose of this research is to detect the urban change that is used for urban planning. Change detection using remote sensing images can be classified into three methods: algebra-based, transfor...
متن کاملExtraction of Field Boundary Information: Using Satellite Images Classified by Artificial Neural Networks
Remotely sensed images and the thematic maps derived from such images are invaluable sources of information for GIS databases, in terms of providing spatial and temporal information about the nature of Earth surface materials and objects. One of the techniques that has emerged recently, and which has made a great impact on scientific community, is that of artificial neural networks (ANNs). ANNs...
متن کامل