I would like to apply machine learning methods in orfeo toolbox to classify some landscape features such as shrub and coarse woody debris in woodland. I created DEM raster image from very dense ground LiDAR point cloud (1 cm resolution).
First, I vectorized three types of 71 training samples.
Then I calculated image statistics with CalculateImageStatistics and trained the image with TrainImagesClassifier libsvm classifier successfully.
Finally, I run ImageClassifier to classify the image. However, the result image has pixels with only 0 value. I tried with random forest classifier as well, but got the same result.
Is it not working because orfeo toolbox cannot classify a DEM raster dataset?