Spatio-temporal altimeter waveform retracking via sparse representation and conditional random fields

Ribana Roscher, Bernd Uebbing, Jurgen Kusche

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

Abstract

This paper suggests an innovative analysis method for derivation of sea surface heights in coastal areas using conventional radar altimetric waveforms. Our analysis consists of a sub-waveform detection and leading edge identification, while using information from spatially and temporally neighboring waveforms. Sub-waveform detection is done via a sparse representation approach and spatial and temporal information is incorporated by utilizing a conditional random field. Our analysis method is combined with a weighted 3-parameter ocean model retracker. Experiments are conducted using Jason-2 Sensor Geophysical Data Records (SGDR) obtained over the Northern Bay of Bengal in region off the coast of Bangladesh.

Original languageEnglish
Title of host publication2015 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1234-1237
Number of pages4
ISBN (Electronic)9781479979295
DOIs
StatePublished - 10 Nov 2015
Externally publishedYes
EventIEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Milan, Italy
Duration: 26 Jul 201531 Jul 2015

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)
Volume2015-November

Conference

ConferenceIEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015
Country/TerritoryItaly
CityMilan
Period26/07/1531/07/15

Keywords

  • Sparse representation
  • altimeter
  • conditional random field
  • retracking
  • sea surface height

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