Proberen Multiband-beelden te gebruiken om doorlatende oppervlakken te identificeren

Question

Hallo, ik gebruik deze tutorial https://learn.arcgis.com/en/projects/calculate-impervious-surfaces-from-spectral-imagery/ om doorlatende oppervlakken te vinden voor mogelijke boomaanplant in onze stad. Bij de stap Classify the imagery Stap 3 Klik op Run duurt het proces enkele uren, ongeveer 20 of zo, wat te verwachten is gezien de grootte van het gebied. Het geeft fouten zoals " ERROR 003436: No training samples found for these classes: Roof(Black Grey), ImperviousShadow, ArtificialTurf, Crop. Failed to execute (TrainSupportVectorMachineClassifier). Failed at February 24, 2022 1:25:05 PM (Elapsed Time: 48 minutes 34 seconds)", maar ik heb het wel getoond als crop land in het voorbeeld en opgeslagen.<\/P> De tweede keer gaf het " ERROR 003436: No training samples found for these classes: Roof(Black Grey), ImperviousShadow, ArtificialTurf, Crop. Failed to execute (TrainSupportVectorMachineClassifier). Failed at February 25, 2022 6:01:58 PM (Elapsed Time: 47 minutes 33 seconds)", opnieuw heb ik shadows getoond. <\/P> Toen ik het uiteindelijk aan de praat kreeg en resultaten produceerde, waren die erg onnauwkeurig; bijvoorbeeld open water werd geïdentificeerd als crop land. Ik heb de instructies gevolgd dus ik weet niet zeker wat het probleem is; is het omdat ik probeer een grote reeks beelden te verwerken?<\/P> <\/P>

IvanPotic · Answer

I had the same problem with the "ERROR 003436".

I want to confirm that @Taren_Esri first suggestion solved my problem.

I clipped the satellite imagery twice. First clip was wider area of Interest and second clip was the "area of interest", significantly smaller part. I was trying to classify smaller clipped part ignoring the fact that I noticed that when zooming to layer I have some invisible buffer (no data or some other problem that arose during clipping). Reverting the classification process to the wide clipped footage saved the day and the new classification process went smoothly. I used previously collected training samples from correctly formatted shape file.

Taren_Esri · Answer

For the sake of future reference, I recently worked on a case that resolved this same issue. If you encounter this error message, check two things. The first is that you are running your analysis on the same and original raster you trained your classes on. This means it can't have been clipped, masked, etc.  The second is ensuring your input training sample feature class is actually split and individual features that are appropriately labeled for their class. This means no multipart features. You can run Multipart to Singlepart to split them up if needed. Hope this helps someone!

dvandommelen · Answer

I've received this same error. Anyone know an answer?