Nice

Dear all, Have taken some remote sensing courses since I have gained a raising interest in the topic. However the theory provided is very little. For a homework task I came along the following question but have no clue where to start since no information is given. Could someone help me out or give me a push in the right direction? Explain how the ISODATA classifier works by performing an ISODATA classification on the following data. Use 3 classes, a maximum of 5 iterations, and a convergence threshold of 95%. Start this process by drawing the spectral space scatterplot for these data. Distribute the initial 3 class centers evenly along the diagonal of the scatterplot. Show your calculations for each iteration. Show the final classified image. Image 1: 25 20 30 18 46 22 42 20 50 Image 2: 15 5 10 45 30 47 20 59 25 This is all the information we are provided with, thanks in advance!:)