An airplane detection method for panchromatic image

  • Zhenyu An
  • , Zhenwei Shi*
  • *Corresponding author for this work

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

Abstract

Airplane detection is one of the crucial parts in the field of remote sensing image processing. In this paper, we focus on airplane detection in the remote sensing panchromatic images (PIs) with high spatial resolution (usually superior to 2m). An automated airplane detection system is proposed in the paper. The system contains two main modules: in module one, we use the circle frequency filter to quickly locate the candidates of airplanes; in module two, the precise detection process is accomplished by combining reconstruction independence component analysis (RICA) and SVM algorithm. Experimental results from the real data indicate that the system is effective in handling the remote sensing images. Therefore, it is a good choice for airplane detection in PIs.

Original languageEnglish
Title of host publication2013 IEEE China Summit and International Conference on Signal and Information Processing, ChinaSIP 2013 - Proceedings
Pages189-192
Number of pages4
DOIs
StatePublished - 2013
Event2013 IEEE China Summit and International Conference on Signal and Information Processing, ChinaSIP 2013 - Beijing, China
Duration: 6 Jul 201310 Jul 2013

Publication series

Name2013 IEEE China Summit and International Conference on Signal and Information Processing, ChinaSIP 2013 - Proceedings

Conference

Conference2013 IEEE China Summit and International Conference on Signal and Information Processing, ChinaSIP 2013
Country/TerritoryChina
CityBeijing
Period6/07/1310/07/13

Keywords

  • Airplane detection
  • circle-frequency filter
  • reconstruction independence component analysis
  • support vector machine

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