High quality DEM generation from PCIAS

Hongshi Yan, Jian Guo Liu, Gareth Morgan, Cheng Chien Liu

Research output: Contribution to conferencePaperpeer-review

6 Citations (Scopus)

Abstract

This paper presents an efficient Phase Correlation based Image Analysis System (PCIAS) for high quality DEM generation. A multi-resolution phase correlation based disparity estimation and refinement algorithm has been implemented in PCIAS. It can easily cope with the precise disparity estimation from sub-pixel to very large disparity range with varying baseline/distance ratio in vertical or slightly oblique view stereo imaging. The PCIAS is now a fully operational, professional C++ software package equipped with a robust phase correlation engine, which is among the most advanced technology for sub-pixel image feature shift analysis, and is able to achieve <1/50th pixel accuracy in dense disparity map estimation. Our experiment indicates PCIAS can generate high quality DEM from very narrow baseline satellite image pairs with view angle difference as small as just 1 degree.

Original languageEnglish
Pages4950-4953
Number of pages4
DOIs
Publication statusPublished - 2012 Dec 1
Event2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012 - Munich, Germany
Duration: 2012 Jul 222012 Jul 27

Other

Other2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012
CountryGermany
CityMunich
Period12-07-2212-07-27

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Earth and Planetary Sciences(all)

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