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3-D Scene Reconstruction from Aerial Imagery

Authors: Jared M Ekholm; AIR FORCE INST OF TECH WRIGHT-PATTERSON AFB OH GRADUATE SCHOOL OF ENGINEERING AND MANAGEMENT
Abstract:
3-D scene reconstructions derived from Structure from Motion (SfM) and Multi-View Stereo (MVS) techniques were analyzed to determine the optimal reconnaissance flight characteristics suitable for target reconstruction. In support of this goal, a preliminary study of a simple 3-D geometric object facilitated the analysis of convergence angles and number of camera frames within a controlled environment. Reconstruction accuracy measurements revealed at least 3 camera frames and a 6 convergence angle were required to achieve results reminiscent of the original structure. The central investigative effort sought the applicability of certain airborne reconnaissance flight profiles to reconstructing ground targets. The data sets included images collected within a synthetic 3-D urban environment along circular, linear and s-curve aerial flight profiles equipped with agile and non-agile sensors. S-curve and dynamically controlled linear flight paths provided superior results, whereas with sufficient data conditioning and combination of orthogonal flight paths, all flight paths produced quality reconstructions under a wide variety of operational considerations.

Limitations: APPROVED FOR PUBLIC RELEASE
Description: Master's thesis
Pages: 183
Report Date: Mar 2012
Report Number: A602755
Keywords relating to this report:
AERIAL RECONNAISSANCE
CONTROLLED ATMOSPHERES
DATA PROCESSING
GEOMETRY
IMAGES
PHOTOMETRY
THREE DIMENSIONAL
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