2

I have a multispectral camera with 5 bands (r, g, b, red edge, NIR) and I would like to classify plants object based with Orfeo ToolBox. I am flying with the drone close to the plants and have an image resolution of about 0.01 m per pixel. I guess I have to do a segmentation first, then an object based classification. What steps and models in OTB do I have to follow?

enter image description here

3

There are four steps to perform an object-based classification in OTB:

1) Image segmentation

otbcli_Segmentation

note that there is also an external module with the Baatz and Schape criterion : http://tully.ups-tlse.fr/lassallep/grm/tree/master

2) Feature extraction in order to compute object-based variables for the classification

otbcli_ZonalStatistics

3) training the classifier to build a model based on training samples

otbcli_TrainVectorClassifier

4) Applying a model to the feature

otbcli_VectorClassifier

| improve this answer | |
1

Here is a detailed description of single steps: Object-based classification (Tutorial)

| improve this answer | |
  • Hi! Welcome to stackexchange. Could you please add a short description to your link, so that your answer can still provide information in case the link is broken? – Kantan Feb 19 at 10:17

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie policy

Not the answer you're looking for? Browse other questions tagged or ask your own question.