Timeline for Determine mudflats area from remote sensing images
Current License: CC BY-SA 3.0
4 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Oct 22, 2014 at 18:27 | vote | accept | Herman Toothrot | ||
| Oct 22, 2014 at 11:31 | comment | added | Spacedman | unsupervised classification is where the algorithm itself works out the classes by looking at the pixels and "clustering" by intensity in the bands. It might not find "mudflats" as a category, or it might find several categories for "mudflats" since smooth mudflats might look different to more rippled mudflats or slightly damp mudflats. In a supervised classification you'd put samples of all those in the "mudflat" training set. | |
| Oct 22, 2014 at 11:26 | comment | added | Herman Toothrot | ok that seems a potential and intuitive solution. The author also mentions unsupervised classification, what would those be? It might be more accurate perhaps? | |
| Oct 22, 2014 at 10:58 | history | answered | Spacedman | CC BY-SA 3.0 |