Adaptive aircraft detection based on level set and circle-frequency filter

Yadong Zhu, Jie Ma, Shengxiang Qi, Wei Yu, Shoubao Liu, Jinwen Tian, Wenxing Fu

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

Abstract

A novel adaptive aircraft detection method based on level set processing and circle-frequency filter is proposed in this paper. First, the SBGFRLS (Selective Binary and Gaussian Filtering Regularized Level Set) method is used twice to find airport region of interest (ROI) and candidate aircraft areas by local segmentation and global segmentation, respectively, so that sizes of those possible target areas can be computed. Then, the circle-frequency (CF) filter method is utilized adaptively to detect target aircrafts in the airport ROI via the mean radius estimated by sizes of those candidate areas obtained before. Experimental results on real remote sensing airport images demonstrate the efficiency and accuracy of the proposed method.

Original languageEnglish
Title of host publicationMIPPR 2013
Subtitle of host publicationRemote Sensing Image Processing, Geographic Information Systems, and Other Applications
DOIs
StatePublished - 2013
Externally publishedYes
Event8th Symposium on Multispectral Image Processing and Pattern Recognition, MIPPR 2013 - Wuhan, China
Duration: 26 Oct 201327 Oct 2013

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume8921
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

Conference8th Symposium on Multispectral Image Processing and Pattern Recognition, MIPPR 2013
Country/TerritoryChina
CityWuhan
Period26/10/1327/10/13

Keywords

  • Adaptive aircraft detection
  • CF filter
  • Level set
  • ROI segmentation

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