// 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;
}
}
// 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;
}
}
