Pdf accuracy assessment of supervised classification of. I suggest to rasterise the maps and than use of kappa statistics kappa index of agreement. Generates a kappa index of agreement between classified raster and ground truth data index is based on how well the classified raster reflects the ground truth points kappa index is expressed as a value between 0 and 1the closer to 1 the value is, the more accurate the reclassification was. This tutorial will walk arcgis users through creating a confusion matrix to assess the accuracy of an image classification. In plain english, it measures how much better the classier is, compared to guessing with the target distribution.
I also demonstrate the usefulness of kappa in contrast to the. Estimating classification accuracy using arcgis youtube. Using kappa, the aforementioned trivial classifier will have a very small kappa. Road maintenance agreements is a configuration of web appbuilder for arcgis that can be used by engineers and operations staff to track legal agreements executed with a public works agency. The kappa value rates how good the agreement is whilst eliminating the. Accuracy assesment of image classification in arcgis pro.
Computes a confusion matrix with errors of omission and commission and derives a kappa index of agreement and an overall accuracy between the classified. The field geodata was postprocessed with the gis software arcgis version 9. Generates a kappa index of agreement between classified raster and ground truth data. Computes a confusion matrix with errors of omission and commission and derives a kappa index of agreement and an overall accuracy between the classified map and the reference data. Computes a confusion matrix based on errors of omission and commission, then derives a kappa index of agreement between the classified map and data that is considered to be ground truth. This tool uses the outputs from the create accuracy assessment points tool or the update accuracy assessment points tool. Buy gis software arcgis product pricing esri store. Kappa statistic of agreement gives an overall assessment of the accuracy of the classification. Computes a confusion matrix with errors of omission and commission, then derives a kappa index of agreement and an overall accuracy between the classified map and the reference data.
Substantial agreements were achieved between the classified remote. Compute confusion matrixhelp documentation arcgis desktop. This video demonstrates how to estimate interrater reliability with cohens kappa in microsoft excel. Arcgis pro is a big step forward, one that advances visualization, analytics, image processing, data. Road maintenance agreements arcgis solutions for local. These accuracy rates range from 0 to 1, where 1 represents 100 percent accuracy. The values of your reference dataset need to match the schema. Technologically ahead of everything else on the market, arcgis pro provides professional 2d and 3d mapping in an intuitive user interface.
Compute a set of attributes associated with your segmented image. Summary of kappa statistics for the models on validation data 2009. The kappa statistic is used to measure the agreement between two sets of. The input raster can be a singleband or 3band, 8bit segmented image. Accuracy assessment of an image classification in arcmap. Standard kappa coefficient identifies the agreement that is expected when. Evaluation of model validation techniques in land cover. An overview of the segmentation and classification toolset. Computes a confusion matrix with errors of omission and commission and derives a kappa. Again, the kappa coefficient had a highest value of 0. If you are remote sensing specialist,you can use software like envi and. Cohens kappa when two binary variables are attempts by two individuals to measure the same thing, you can use cohens kappa often simply called kappa as a measure of agreement between the two individuals. One question, how do you calculate the amount of points that you need to check in order to have a robust kappa test. The kappa statistic is used to control only those instances that may have been correctly.
How to perform accuracy assessment of image classification in arcgis pro. I demonstrate how to perform and interpret a kappa analysis a. Computes a set of attributes associated with the segmented image. Relation between kappa index of agreement and cohens kappa. The different algorithms available in arcgis desktop. And if so, what is the chance that they simply got lucky in their agreement. Studies, rajshahi university, bangladesh for providing the gis software arcgis 10.
495 1476 1469 1095 1334 1508 1066 1633 140 313 593 328 870 592 1645 379 501 716 1067 1122 1467 1121 1262 2 1197 753 969 638 708 722 573