I2Obia advanced uses ===================== Input segmentation ****************** The OBIA workflow accepts three kinds of input segmentation. All of them require to use the :ref:`obia_segmentation_path ` parameter. This parameter accepts three values: - ``None`` or parameter not in configuration file: the workflow use SLIC (Simple Linear Iterative Clustering) to produce the segmentation. - ``path/segmentation_name.tif``: a tif image covering all tiles requested. In this case, the segmentation will be vectorized and clipped over each tile. - ``path/segmentation_name.shp`` : a vector file (shp or sqlite). **In both last cases**, the segmentation can be sparse. For tif input, the no-data must be set to 0. For vector data, holes are simply not considered. There is no filtering done in OBIA, then the segmentation must be ready to use before launching the chain. Eco-climatic regions ******************** The use of eco-climatic regions is available with OBIA. As for pixel classification, samples are associated with a unique region. More :ref:`information ` about how samples and segments are associated to regions. An additional parameter is available: :ref:`region_priority ` to set the order in which regions are viewed. Otherwise, the numerical order is used. Zonal Statistics **************** The parameter :ref:`stats_used ` allows the user to choose which zonal statistics are used for learning and classification steps. Obviously, the statistics used for learning must be the same for classification. There are five statistics always computed by OTB application, but by default only the ``mean`` is used. This parameter is limited by default as the user must be careful with the dimension of data generated. Look at :ref:`this section ` for more information. To enable the choice of statistics, simply add in the configuration file the parameter :ref:`stats_used ` in the ``obia`` section. .. code-block:: console obia:{ buffer_size:2000 stats_used: ["mean", "std"] }