Abstract
There are currently several new technologies being used to generate digital elevation models that do not use photogrammetric techniques. For example, LiDAR (Laser Imaging Detection and Ranging) and RADAR (RAdio Detection And Ranging) can generate 3D points and reflectivity information of the surface without using a photogrammetric approach. In the case of LiDAR, the intensity level indicates the amount of energy that the object reflects after a laser pulse is transmitted. This energy mainly depends on the material and the wavelength used by LiDAR. This intensity level can be used to generate a synthetic image colored by this attribute (intensity level), which can be viewed as a RGB (red, green and blue) picture. This work presents the outline of an innovative method, designed by the authors, to generate synthetic pictures from point clouds to use in classical photogrammetric software (digital restitution or stereoscopic vision). This is conducted using available additional information (for example, the intensity level of LiDAR). This allows mapping operators to view the LiDAR as if it were stereo-imagery, so they can manually digitize points, 3D lines, break lines, polygons and so on.
Highlights
At present, there are a number of diverse techniques for generating digital elevation models that do not require images to be directly captured
Some of these technologies that are widely used include LiDAR, echo sounder and laser scanner [1]. All these techniques can generate dense point clouds with defined spatial attributes. These point clouds cannot be displayed by classical methods of stereoscopic vision and, they are incompatible with the software used in classic photogrammetric stations
This paper describes a methodology that will allow us to extract photogrammetric images from any point cloud, which can be used as input information
Summary
There are a number of diverse techniques for generating digital elevation models (such as terrain or surface models) that do not require images to be directly captured. These point clouds cannot be displayed by classical methods of stereoscopic vision and, they are incompatible with the software used in classic photogrammetric stations This software usually allows us to visualize images with stereoscopic vision (using 3D glasses) to digitalize elements, such as points, lines or polygons. Technique [5] can be considered, which is similar to the photogrammetric one as it allows us to display point clouds using photogrammetric stations via the generation of synthetic images The purpose of this methodology is to create an alternative (cheap and easy) method for photogrammetry in cases where it is not possible to use photogrammetry (for example, in adverse weather conditions). LiDAR flight (SHAKE, I+D project financed in public announcements) [6]
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