A FAST VOXEL-BASED INDICATOR for CHANGE DETECTION USING LOW RESOLUTION OCTREES

J. Gehrung, M. Hebel, M. Arens, U. Stilla

Research output: Contribution to journalConference articlepeer-review

7 Scopus citations

Abstract

This paper proposes a change detection approach that uses a low-resolution octree enhanced with Gaussian kernels to describe free and occupied space. This so-called Gaussian Occupancy Octree is derived from range measurements and used to represent spatial information for a single epoch. Changes between epochs are encoded using a Delta Octree. A qualitative and quantitative evaluation of the proposed approach shows that its advantages are a fast runtime and the ability to make a statement about the re-exploration of space. An evaluation of the classification accuracy shows that our approach tents towards correct classifications with an overall accuracy of 51.5 %, but is also systematically biased towards the appearance of occupied space.

Original languageEnglish
Pages (from-to)357-364
Number of pages8
JournalISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Volume4
Issue number2/W5
DOIs
StatePublished - 29 May 2019
Event4th ISPRS Geospatial Week 2019 - Enschede, Netherlands
Duration: 10 Jun 201914 Jun 2019

Keywords

  • Change Detection
  • Local Deformation Analysis
  • Volumetric Environment Representation

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