Layer-by-Layer Vectorization

New UCS

Specify coordinate system in command line to create sections: View or UCS. If the View option was chosen, then sections will be created one by one, starting from the current view plane, until the last point of the cloud. Otherwise, if the UCS was chosen, then sections will be created one by one, starting from XY plane of UCS in Z axis direction, until the last point of the cloud;

Result type

Objects to be created as a result of the command work.

·         Only_vectors – add only vector primitives (polylines, lines, arcs, circles) describing the section. The type of primitives that will be created is determined by the Result type option in the Vectorization Settings dialog;

·         Raster – add vector objects and raster images of sections;

·         Raster and clip – add point cloud sections, raster images and vector objects.

Step calculation method

Set the accuracy of recognizing vector objects on raster images. Low accuracy is used for sparse point clouds and for raster images with small DPI.

Number of passes

Number of cloud sections.

Step Count

Step size.

The parameter is available if the Step Calculation Method is By Steps Count.

Initial height

The level from which the layer-by-layer vectorization of a cloud begins.

Slice width

The width of the cloud cross-sections (layers) to be vectorized. Excessive section width can lead to noise and thickening of contours, to the appearance of unnecessary contours and distortion of the topology, as a result of excess cloud points getting into the section. Insufficient width makes the contours thin and discontinuous due to the lack of cloud points falling into the section.

Enter the value of the section width (in drawing units) using the keyboard. You can also measure the width in the drawing using the  button in the Recognition parameters dialog box.

Maximum edge length

Maximum length of the raster line to be analyzed when recognizing vectors. Raster lines with a length greater than the maximum will not be vectorized.

Accuracy:

The accuracy with which vector objects should be recognized in cloud sections.

The parameter is determined by the section quality, which depends on the cloud quality and the Slice Width.

In some cases, what is required is not an increase, but a decrease in recognition accuracy. If the section quality turns out to be low, i.e. if the section is sparse and noisy with intermittent and unclear contours, then with high accuracy objects will not be recognized. In such cases, the accuracy should be reduced until the required objects and contours are recognized.

If the section quality is good, then with low accuracy, vector objects can be recognized in places where they are not present, or positioned incorrectly. In such cases, the recognition accuracy should be increased until the recognized objects are correctly positioned.

Result type

Type of vector objects that will be recognized on raster images of sections:

·         Lines;

·         Lines, arcs and circles;

·         Polylines;

·         Elliptical arcs and lines.