High quality DEM generation from PCIAS

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

doi:10.1109/IGARSS.2012.6352501

High quality DEM generation from PCIAS

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

Department of Earth Sciences

Research output: Contribution to conference › Paper › peer-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 <1/50^th 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 language	English
Pages	4950-4953
Number of pages	4
DOIs	https://doi.org/10.1109/IGARSS.2012.6352501
Publication status	Published - 2012 Dec 1
Event	2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012 - Munich, Germany Duration: 2012 Jul 22 → 2012 Jul 27

Other

Other	2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012
Country	Germany
City	Munich
Period	12-07-22 → 12-07-27

All Science Journal Classification (ASJC) codes

Computer Science Applications
Earth and Planetary Sciences(all)

Access to Document

10.1109/IGARSS.2012.6352501

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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.",

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doi = "10.1109/IGARSS.2012.6352501",

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AU - Yan, Hongshi

AU - Liu, Jian Guo

AU - Morgan, Gareth

AU - Liu, Cheng Chien

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