Detect Change is performed on the two images, that is, the deep learning algorithm is used to determine whether the ground objects in the images have changed, and the binary raster results of the pixels with changed interest categories are generated. The function of Detect Common Change is to interpret fine-grained images, which are usually used to obtain the changes of buildings, roads and water bodies with obvious characteristics.

When creating a Detect Common Change task, you need to set the following parameters:
- Image Data Source: required parameter; specify the Datasource path of Image Dataset for analysis, such as C:\Data\Image.udb. Currently, only three formats are supported: udb, udbx, and tiff. It can also be specified by selecting a registered Dataset.
- Image Dataset: required parameter, specifying the Image Dataset Name word for analysis, such as image 1. When the input Data source is This parameter does not take effect when tiff.
- Compare Data Source: required parameter; specify the Datasource path of Image Dataset for analysis and comparison, such as C:\Data\Image.udb. Currently, only three formats are supported: udb, udbx, and tiff. It can also be specified by selecting a registered Dataset.
- Compare Data Set: required parameter; it is used to specify the comparison Image Dataset Name for analysis, such as image 2. When the input data source is tiff, this parameter does not take effect.
- Model File: a required parameter, which is the path of the trained Model File for analysis, such as C:\Data\models.sdm. It can also be specified by selecting a registered model.
- Slice offset value: optional parameter, the offset pixel value of the image slice (in the Binary Classification process, due to the structural characteristics of the convolutional neural network, the data prediction at the edge of the slice is insufficient. In order to improve the prediction quality, the slices need to be overlapped). This parameter is in pixels, and the default value is 0.
- User-defined Result Datasource Name: This is an optional parameter. Check this option to specify the name of the Datasource stored in the Analyst Result. For example, if the "Result" does not exist, the Datasource will be created automatically.
- Result Dataset: optional parameter, output Detected ResultDataset Name. Default: "genchangedet_result".
- Publish Result as Map Service: Check this option to publish Detected Result as Map Service.
- Publish Result as Data Service: Check this option to publish Detected Result as Data Service.