// Computes Class Statistics for the image layer using user input graphics as class definition polygons
        private async void ComputeClassStatisticsButton_Click(object sender, RoutedEventArgs e)
        {
            try
            {
				if (_graphicsOverlay.Graphics.Count < 2)
					throw new ArgumentException("Before computing statistics, enter two or more class definition areas by clicking the image on the map.");

                progress.Visibility = Visibility.Visible;
                if (MyMapView.Editor.IsActive)
                    MyMapView.Editor.Cancel.Execute(null);

                var statsTask = new ComputeClassStatisticsTask(new Uri(_imageLayer.ServiceUri));

                var statsParam = new ComputeClassStatisticsParameters();
				statsParam.ClassDescriptions = _graphicsOverlay.Graphics
                    .Select((g, idx) => new ClassDescription(idx, idx.ToString(), g.Geometry as Polygon)).ToList();

                var result = await statsTask.ComputeClassStatisticsAsync(statsParam);

                _imageLayer.RenderingRule = new RenderingRule()
                {
                    RasterFunctionName = "MLClassify",
                    VariableName = "Raster",
                    RasterFunctionArguments = new Dictionary<string, object> { { "SignatureFile", result.GSG } },
                };
            }
            catch (Exception ex)
            {
				var _ = new MessageDialog(ex.Message, "Sample Error").ShowAsync();
			}
            finally
            {
                progress.Visibility = Visibility.Collapsed;
            }
        }
        // Computes Class Statistics for the image layer using user input graphics as class definition polygons
        private async void ComputeClassStatisticsButton_Click(object sender, RoutedEventArgs e)
        {
            try
            {
                progress.Visibility = Visibility.Visible;
                if (mapView.Editor.IsActive)
                    mapView.Editor.Cancel.Execute(null);

                var statsTask = new ComputeClassStatisticsTask(new Uri(imageLayer.ServiceUri));

                var statsParam = new ComputeClassStatisticsParameters();
                statsParam.ClassDescriptions = graphicsLayer.Graphics
                    .Select((g, idx) => new ClassDescription(idx, idx.ToString(), g.Geometry as Polygon)).ToList();

                var result = await statsTask.ComputeClassStatisticsAsync(statsParam);

                imageLayer.RenderingRule = new RenderingRule()
                {
                    RasterFunctionName = "MLClassify",
                    VariableName = "Raster",
                    RasterFunctionArguments = new Dictionary<string, object> { { "SignatureFile", result.GSG } },
                };
            }
            catch (Exception ex)
            {
                MessageBox.Show(ex.Message, "Sample Error");
            }
            finally
            {
                progress.Visibility = Visibility.Collapsed;
            }
        }
예제 #3
0
        // Computes Class Statistics for the image layer using user input graphics as class definition polygons
        private async void ComputeClassStatisticsButton_Click(object sender, RoutedEventArgs e)
        {
            try
            {
                if (_graphicsOverlay.Graphics.Count < 2)
                {
                    throw new ArgumentException("Before computing statistics, enter two or more class definition areas by clicking the image on the map.");
                }

                progress.Visibility = Visibility.Visible;
                if (MyMapView.Editor.IsActive)
                {
                    MyMapView.Editor.Cancel.Execute(null);
                }

                var statsTask = new ComputeClassStatisticsTask(new Uri(_imageLayer.ServiceUri));

                var statsParam = new ComputeClassStatisticsParameters();
                statsParam.ClassDescriptions = _graphicsOverlay.Graphics
                                               .Select((g, idx) => new ClassDescription(idx, idx.ToString(), g.Geometry as Polygon)).ToList();

                var result = await statsTask.ComputeClassStatisticsAsync(statsParam);

                _imageLayer.RenderingRule = new RenderingRule()
                {
                    RasterFunctionName      = "MLClassify",
                    VariableName            = "Raster",
                    RasterFunctionArguments = new Dictionary <string, object> {
                        { "SignatureFile", result.GSG }
                    },
                };
            }
            catch (Exception ex)
            {
                var _ = new MessageDialog(ex.Message, "Sample Error").ShowAsync();
            }
            finally
            {
                progress.Visibility = Visibility.Collapsed;
            }
        }
예제 #4
0
        // Computes Class Statistics for the image layer using user input graphics as class definition polygons
        private async void ComputeClassStatisticsButton_Click(object sender, RoutedEventArgs e)
        {
            try
            {
                progress.Visibility = Visibility.Visible;
                if (mapView.Editor.IsActive)
                {
                    mapView.Editor.Cancel.Execute(null);
                }

                var statsTask = new ComputeClassStatisticsTask(new Uri(imageLayer.ServiceUri));

                var statsParam = new ComputeClassStatisticsParameters();
                statsParam.ClassDescriptions = graphicsLayer.Graphics
                                               .Select((g, idx) => new ClassDescription(idx, idx.ToString(), g.Geometry as Polygon)).ToList();

                var result = await statsTask.ComputeClassStatisticsAsync(statsParam);

                imageLayer.RenderingRule = new RenderingRule()
                {
                    RasterFunctionName      = "MLClassify",
                    VariableName            = "Raster",
                    RasterFunctionArguments = new Dictionary <string, object> {
                        { "SignatureFile", result.GSG }
                    },
                };
            }
            catch (Exception ex)
            {
                MessageBox.Show(ex.Message, "Sample Error");
            }
            finally
            {
                progress.Visibility = Visibility.Collapsed;
            }
        }