Elevation measurement from single-pass SAR images

Shota Hishinuma, Koichi Ito, Takafumi Aoki, Jyunpei Uemoto, Seiho Uratsuka

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Elevation measurement using Synthetic Aperture Radar (SAR) is one of fundamental techniques in remote sensing. The cross-track Interferometric SAR (InSAR), which is the most popular technique of elevation measurement using SAR, uses the phase differences between the signals received by SAR antennas. Single-pass InSAR can be achieved by a single platform with two antennas. InSAR requires Ground Control Points (GCPs) to measure absolute elevation values, although it is a time-consuming and cost-intensive task to acquire GCPs. Addressing the above problem, this paper proposes an elevation measurement method using two SAR intensity images taken by a single-pass airborne SAR system. A projection model is derived to apply the principle of stereo vision to elevation measurement from SAR images. Phase-Only Correlation is employed to obtain accurate correspondence between two SAR images having below 1-pixel disparities. Through the experiment using SAR images, we demonstrate that the proposed method exhibits efficient performance in elevation measurement.

Original languageEnglish
Title of host publication2017 IEEE International Geoscience and Remote Sensing Symposium
Subtitle of host publicationInternational Cooperation for Global Awareness, IGARSS 2017 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages5662-5665
Number of pages4
ISBN (Electronic)9781509049516
DOIs
Publication statusPublished - 2017 Dec 1
Event37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017 - Fort Worth, United States
Duration: 2017 Jul 232017 Jul 28

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)
Volume2017-July

Other

Other37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017
CountryUnited States
CityFort Worth
Period17/7/2317/7/28

Keywords

  • Phase-only correlation
  • Radargrammetry
  • SAR
  • Single-pass
  • Stereo vision

ASJC Scopus subject areas

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

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