High quality DEM generation from PCIAS

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

研究成果: Paper同行評審

6 引文 斯高帕斯(Scopus)

摘要

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.

原文English
頁面4950-4953
頁數4
DOIs
出版狀態Published - 2012 十二月 1
事件2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012 - Munich, Germany
持續時間: 2012 七月 222012 七月 27

Other

Other2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012
國家/地區Germany
城市Munich
期間12-07-2212-07-27

All Science Journal Classification (ASJC) codes

  • 電腦科學應用
  • 地球與行星科學(全部)

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