A method of automatic recognition of airport in complex environment from remote sensing image

Qiwei Hao*, Guoqiang Ni, Pan Guo, Xiaomei Chen, Yi Tang

*Corresponding author for this work

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

1 Citation (Scopus)

Abstract

In this paper, a new method is proposed for airport recognition in complex environments. The algorithm takes all advantages of essential characteristics of the airport target. Structural characteristics of the airport are used to establish assumption process. Improved Hough transformation (HT) is used to check out those right straight-lines which stand for actual position and direction of runways. Morphological processing is used to remove road segments and isolated points. Finally, we combine these segments carefully to describe the whole airport area, and then our automatic recognition of airport target is realized.

Original languageEnglish
Title of host publication2009 International Conference on Optical Instruments and Technology - Optoelectronic Imaging and Process Technology, OIT 2009
DOIs
Publication statusPublished - 2009
Event2009 International Conference on Optical Instruments and Technology, OIT 2009 - Shanghai, China
Duration: 19 Oct 200921 Oct 2009

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume7513
ISSN (Print)0277-786X

Conference

Conference2009 International Conference on Optical Instruments and Technology, OIT 2009
Country/TerritoryChina
CityShanghai
Period19/10/0921/10/09

Keywords

  • Airport
  • Edge extraction
  • Remote sensing image
  • Target recognition

Fingerprint

Dive into the research topics of 'A method of automatic recognition of airport in complex environment from remote sensing image'. Together they form a unique fingerprint.

Cite this