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Scene-based non-uniformity correction using compressive sensing

  • Mahboob Iqbal*
  • , Jie Chen
  • , Zhuo Li
  • *Corresponding author for this work
  • Beihang University

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

Abstract

A novel compressive sensing (CS) based non-uniformity correction (NUC) technique for focal plane array (FPA) imaging system is proposed. Instead of estimating NUC parameters from video sequence at 100% sensors in FPA, only 40% sensors are selected via CS measurement matrix for real-time NUC estimation and CS reconstruction algorithm is exploited to obtain NUC compensation table for 100% sensors. In this study, temporal highpass filtering technique is used to estimate NUC parameters at selected pixels from sequence of video frames. The simulation results show that proposed CS based NUC framework can effectively remove FPA non-uniformities.

Original languageEnglish
Title of host publication2011 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2011 - Proceedings
Pages977-980
Number of pages4
DOIs
StatePublished - 2011
Event2011 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2011 - Vancouver, BC, Canada
Duration: 24 Jul 201129 Jul 2011

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)

Conference

Conference2011 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2011
Country/TerritoryCanada
CityVancouver, BC
Period24/07/1129/07/11

Keywords

  • Compressive Sensing
  • Focal Plane Array
  • Non-uniformity Correction

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