Module 5 Photo Interpretation and Remote Sensing: Supervised and Unsupervised Classification
Hello all, in this week of Photo Interpretation and Remote Sensing, we learned how digital imagery is classified both unsupervised and supervised. Unsupervised classification is done manually and does not use a predetermined classification that matches pixels. Supervised classification is done under the supervision of an already established set of "spectral signatures". We used ERDAS Imagine to classify the images and ArcGIS to make the layout. This image uses a band combination that helps each feature stand out and avoid being spectrally confused. The main image shows the classifications, explained in the legend on the side. The distance map shows the accuracy of the classification. Brighter spots on the distance map were more likely to have been spectrally confused. Thank you, Joel Sexson