Abstract

This article first introduces oblique aerial imagery, then describes how vertical distances can be measured once the pixel distances of the original pictures are known. The calculations require that, not only all camera settings be known, but also that one relies on the availability of detailed digital terrain and digital surface models (DSM and DTM), in order to provide the necessary ground level for calculating vertical distances. The algorithm is finally implemented in an online viewer.

Highlights

  • Detailed aerial photography is becoming progressively more important for landscape planning and sustainable development purposes

  • This paper describes the development of a mathematical algorithm aimed at calculating vertical distances and the implementation of this algorithm inside an oblique picture online viewer

  • It is more desirable that, once the ground projection P of the first point selected by the user is calculated, the software should not recalculate the projection P' for the second point selected

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Summary

Introduction

Detailed aerial photography is becoming progressively more important for landscape planning and sustainable development purposes Both nadiral and oblique photographs allow for a better analysis of the territory and for the identification of many architectural details of buildings themselves (e.g., facades). In this way, the use of such photographs can be used to support landscape planning activities, as they provide accurate and detailed views of urban centers and can help track the evolution of land use. Grenzdörffer et al [1] show how oblique images can be used in commercial software, such as MultiVision, to provide an interactive, multi-perspective view of any area, structure and/or feature. The MultiVision software allows for an automated generation of 3D-textured facades, which can be used for advanced visualization and interpretation purposes

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