stephenhann Posted October 29, 2015 Report Share Posted October 29, 2015 I am using Erdas Imagine 2015 software to perform an unsupervised classification of a Landsat 8 img file. When using the Isodata method is there any parameters I can adapt such as standard deviation, convergence threshold etc that are a standard to produce the most accurate results for a land cover assessment rather than the default settings. As recoding and masking individual classes is a lengthy and complicated process. Thanks Quote Link to comment Share on other sites More sharing options...
Lurker Posted October 30, 2015 Report Share Posted October 30, 2015 here : https://hexagongeospatial.fluidtopics.net/en/book#!book;uri=f2790e0ca81311531f1a57c6b7bc80b2;breadcrumb=2e86bd898d02a646f3e7e68868433e3c-efd076f1f846e15d938beec0f4d6994f-257c7f0fe0b58554a35e39946fe34d2b but for maximum output, you need to make not only one, but perform more than two or three trial and compare it. 1 Quote Link to comment Share on other sites More sharing options...
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