Building facade object detection from terrestrial thermal infrared image sequences combining different views

Research output: Contribution to journalConference articlepeer-review

28 Scopus citations

Abstract

This paper discusses the automatic texturing of building facades from thermal infrared image sequences. A fully automatic method is presented to refine GPS based positions estimating relative orientations of the image sequences including a given building model in a bundle adjustment process. The resulting refined orientation parameters are used to extract partial facade textures from all images and all sequences. The resulting partial textures of every sequence are combined to get complete facade textures in the thermal infrared domain. Textures from different image sequences are combined for object detection and extraction. These sequences are acquired either at different times for different radiometric thermal behavior of facade objects or with different viewing directions for objects located before or behind the facade plane.

Original languageEnglish
Pages (from-to)55-62
Number of pages8
JournalISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Volume2
Issue number3W4
DOIs
StatePublished - 12 Mar 2015
EventJoint ISPRS workshops on Photogrammetric Image Analysis, PIA 2015 and High Resolution Earth Imaging for Geospatial Information, HRIGI 2015 - Munich, Germany
Duration: 25 Mar 201527 Mar 2015

Keywords

  • Building
  • Combination
  • Extraction
  • Infrared
  • Sequences
  • Terrestrial
  • Texture
  • Urban

Fingerprint

Dive into the research topics of 'Building facade object detection from terrestrial thermal infrared image sequences combining different views'. Together they form a unique fingerprint.

Cite this