OBIA CLASSIFICATION

Implementation of OBIA algorithm for classification photo from unmanned aerial vehicle ("OBIA classification with DM.ipynb").
The input data is the aerial image in 3 channels RGB ("ortho.png") and digital model - DM ("dm.png").
DM = Digital Terrain Model (DTM) - Digital Surface Model (DSM).
Orthophoto, DTM and DSM are got from Agisoft PhotoScan software. Subtraction is implemented and labels are created in ArcMap software.

For training labeled image ("train_with_shadows.png") is used. In the example, I classified objects on the aerial image to 3 categories: trees, grassland and roads.

OBIA algorithm which is used here:

1. Upload 2 images (aerial photo and DM) and sum it to one 4-bands image.
2. Create segmentation (Quickshift and Felszenwalb segmentation are used).
3. Upload labels and train. Ensemble "Random Forest Tree" is used.
4. Save classification to the file.

You can read about results of the classification in my topic "Automated photointerpretation and vectorization of aerial survey materials for creation topographic plans.pdf" (in russian).