Feature-based fusion of tomosar point clouds from multiview TerraSAR-X data stacks

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

This article presents a technique of fusing point clouds from multiple view angles generated using synthetic aperture radar (SAR) tomography. Using TerraSAR-X high resolution spotlight data stacks, one such point has a population of about 2×107 points, with a density of around 106 points / km2. Such large point population leads to a high computational cost while doing the fusion in 3D space. Therefore, we introduce a feature-based unsupervised technique for point clouds fusion by detecting and matching building contour end points and aligning flat roofs in the two point clouds. The same idea can also be exploited as a general way to evaluate the fusion accuracy of other fusion techniques.

Original languageEnglish
Title of host publication2013 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013 - Proceedings
Pages85-88
Number of pages4
DOIs
StatePublished - 2013
Event2013 33rd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013 - Melbourne, VIC, Australia
Duration: 21 Jul 201326 Jul 2013

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)

Conference

Conference2013 33rd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013
Country/TerritoryAustralia
CityMelbourne, VIC
Period21/07/1326/07/13

Keywords

  • PSI
  • SAR
  • SAR Tomography
  • urban monitoring

Fingerprint

Dive into the research topics of 'Feature-based fusion of tomosar point clouds from multiview TerraSAR-X data stacks'. Together they form a unique fingerprint.

Cite this