: It supports a wide range of operators for raster, vector, and point cloud data, allowing you to create highly specific analysis routines tailored to your project.
Export models as Python scripts for deeper integration into enterprise systems. 3. Machine Learning and Image Classification
Users train the software using known pixels (training sites) to categorize the rest of the image using algorithms like Maximum Likelihood or Minimum Distance.
If you ask a Senior Remote Sensing Scientist why they prefer over other tools, they will almost certainly mention the Spatial Modeler .
: It supports a wide range of operators for raster, vector, and point cloud data, allowing you to create highly specific analysis routines tailored to your project.
Export models as Python scripts for deeper integration into enterprise systems. 3. Machine Learning and Image Classification erdas imagine software
Users train the software using known pixels (training sites) to categorize the rest of the image using algorithms like Maximum Likelihood or Minimum Distance. : It supports a wide range of operators
If you ask a Senior Remote Sensing Scientist why they prefer over other tools, they will almost certainly mention the Spatial Modeler . and point cloud data