Target Detection |
Target detection is to automatically determine and recognize the category and location of one or more targets in remote sensing images by using algorithms and models. Object detection uses deep learning algorithm to detect interesting objects in images, and uses vector boxes as markers to determine their categories and locations. The target detection function has the characteristics of fast detection speed and high accuracy, and is usually used to quickly determine the spatial information such as the number and location of different types of targets in the image.
Figure 1: Aircraft target detection result Figure 2: Greenhouse target detection results
Image datasource: Required parameter, specifying datasource path of image data set to be analyzed, such as C:\Data\Image.udb. Currently, only three formats are supported: udb, udbx, tiff. It can also be specified by selecting a registered data set.
Image dataset: Required parameter, specifying the name of the image dataset to be analyzed, such as DSM. When the input data source When 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.
Target category name: Optional parameter, please obtain from the model file (.sdm). If it is not filled in, all categories will be output by default.
Probability threshold: Optional parameter, keep the lowest value of the detection probability of the target, and only keep the target whose prediction probability is higher than this value. The default value is 0.5.
De-duplication threshold: Optional parameter, the threshold for removing duplicate targets. The default is 0.3.
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 the objdetect_result.
Publish results as map services: Check this option to publish target detection results as map services.
Publish results as data services: Check this option to publish target detection results as data services.