Orthophotos

MDT Images inserts in the current CAD drawing one or several orthophotos with most common formats (see requirements) at their real coordinates.

Aerial Photographies and Scanned Maps

There are different options for geo-referencing images, so that real terrain coordinates are assigned.

The simplest option consists of drawing reference lines for connecting known points over the image to points on the CAD drawing. For more complex cases you can insert marks with names and then link them with topographic points.

Pictures with Location

MDT Images allows you to insert pictures in miniature with information about their location to the current CAD drawing such as the photos taken with smartphones and cameras with integrated GPS. Each photo is automatically linked with a topographic point, and also you can insert the picture with the scale chosen by the user at its location, in the same way as Google Maps. The EXIF information which contains in each image can be retrieved at any time.

WMS Maps

You can connect MDT to any of WMS services (Web Map Services), download an image and insert it in the current CAD drawing at real coordinates (cartographic institutes, cadaster, and other public and private organizations).

Operations on images

This module includes basic transformations over the images, such as turning, rotating, adjusting brightness, adjusting contrast, adjusting hue, adjusting saturation and adjusting balance colors. Also you can modify the size of the image, resolution and color depth. Other useful tools are: delimit a image with a boundary (closed polyline), divide a georeferenced image on sheets and paste a group of georeferenced images into a single final image.

Distort Image

By using reference lines or marks you can distort an image by two methods: projective transformation or rubber-sheeting. The projective transformation will adjust a maximum of four control points, independently of the number of those used for calculation. The rubber-sheeting technique is a bilinear transformation of each one of the image pixels, computed from pairs of origin and destination points. This technique will adjust all control points involved in the calculation.

The resulting images are created by using one interpolation method: next neighbors, bilinear, bicubic or Lagrange. As a result the mean squared error will be shown as well as maximum residuals.