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This link might be some help to you:


I recommend reading Russell Congalton's book Assessing the Accuracy of Remotely Sensed Data: Principles and Practices for a comprehensive analysis of the subject. Looking at your accuracy assessment, I see two red flags suggesting that the accuracy of the classified product is poor. First, an overall accuracy of 0.4 can be interpreted as saying 6 times out ...


Arc GIS have introduced the image classification tool in version 10. If You want to classify the images using Arc Map. Check this tutorial of the tool. You may also use other softwares like ENVI or ERDAS IMAGINE for this purpose. For the case of ENVI this tutorial guides you through the process and can perform both supervised and unsupervised ...


I would hazard to guess that your Professor is asking that your classification be done at a finer resolution than you've presented here. If the image you show is at the same cell size as the original image then changing the resolution does not change the fundamentals of the classification. If you reduced the resolution from the original image to process ...


You should check your Environment Settings and adjust the Cell Size to an appropriate cell size: ArcGIS Cell Size


Maximum Likelihood Classification, in any remote sensing software, will consider all of the bands passed to the tool and not be limited to the RGB spectral space. However, one thing to keep in mind is that Maximum Likelihood does not do very well with data in different scales so, for the best results, you want to match the bit-depth of your data. For ...

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