Scene classification

Classifying the scene of the image tile, namely segmenting the whole image according to a specific size, distinguishing the images with similar scene characteristics from the segmented images, classifying the images, and endowing each image with a scene category label.

                        Figure 1: Original image Figure                                           II: Local Climate Zone (LCZ) classification results

When creating a scene classification task, you need to set the following parameters:

• Image datasource: required parameter, specifying datasource path of image data set to be analyzed, such as C:\Data\Image.udb. Currently only udb, udbx, tiff are supported. It can also be specified by selecting a registered data set.

• Image dataset: a required parameter, specifying the name of the image dataset to be analyzed, such as dsm. When the input data source is tiff, this parameter does not participate in the analysis.

• Model File: required parameter, the path of the trained model file used for analysis, such as C:\Data\models.sdm. It can also be specified by selecting a registered model.

• User-defined result datasource name: optional parameter. Check this option to specify the datasource name for storing analysis results, such as Result. The data source is created when it does not exist.

• Result dataset: optional parameter, output binary classification result dataset name. The default is sceneclassify_result.

• Publish results as map services: Check this option to publish the scenario classification results as map services.

• Publish results as data services: Check this option to publish scenario classification results as data services.