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ABSTechies are dedicated to investing in cutting edge digitization technologies for our vast and diverse clientele. As our customer demand for high-quality digitization has grown, The HF Group continues to deploy solutions within DigitalSolutions that adapt to a multitude of applications and requirements. We don’t just scan; DigitalSolutions produces accurate, and if the application warrants, archival-quality digital images resulting from a variety of original materials.

Digitization Samples

Grey Scale Samples - Before/After - Slide Bar To View


Digitizing features

A common way to create new features is to trace their shapes on-screen using another layer for reference. This technique is called heads-up digitizing, or sometimes screen digitizing. When you digitize a feature, each time you click a location on the screen, an x,y coordinate pair is recorded and stored as part of the feature shape.

The layer used for reference during heads-up digitizing is called the base layer. Scanned paper maps, digital aerial photos, and other GIS layers are typically used as base layers.

To digitize a feature, you follow the steps below:

  • Start an edit session and set your editing environment (target layer and task).
  • Zoom to the feature you want to digitize on your base layer.
  • Create the feature's sketch by tracing the outline of the feature, clicking to create each vertex.
  • Save your edits, which saves the sketch as a new feature.

Binarized Samples (usually used with OCR) - Before/After - Slide Bar To View


How many vertices should you create?

  • There is no magic number or formula to tell you how many vertices are required for a particular feature. You need to create enough vertices to accurately represent the shape of the feature, but too many vertices will unnecessarily increase the size of your data and make digitizing time-consuming. Keep in mind that features you digitize can never represent real-world objects more accurately than your base layer. Creating extra vertices won't increase the accuracy of your data.
  • Also consider how much accuracy the data requires—if you won't be using the data to make measurements or for analysis that requires very exact shapes, you can get by with fewer vertices.
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