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LColson
(Stranger )
07/12/12 06:54 AM
Re: Manual Accuracy Assessment [re: mrasser]Report this article as Inappropriate to us !!!Login to Reply

If you have 400 points of accuracy data, your confusion matrix should have the 400 points spread between the classes. Example:


                  Urban        Non-urban


Urban           50            60


Non-Urban     90            200


Notice that the 4 numbers add up to 400. Only the diaganol is where an urban pixel in the reference data was also classified as urban (50) and your classification of non-urban areas was also matched with a non-urban reference pixel (200). 250/400 = overall accuracy. Do a search on producer's and user's accuracy to figure them out and then also Kappa Coefficient. But I would also recommend you look at techniques for comparing your classification results with your reference data to create a matrix where all the data in your results add up to 400.


The squared R approach is favored by many remote sensing analysts, but I think you are trying to do the approach I discussed above. I hope this helps. Smile        






Entire thread
SubjectPosted byPosted on
*Manual Accuracy Assessment mrasser   04/20/08 05:08 PM
.*Re: Manual Accuracy Assessment LColson   07/12/12 06:54 AM
.*Re: Manual Accuracy Assessment wanakev2   07/10/12 10:05 AM
.*Re: Manual Accuracy Assessment scrabblehack   07/11/12 06:14 AM
.*Re: Manual Accuracy Assessment mysticsea   04/29/08 07:06 AM
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