A novel harbor detection method based on pattern coding algorithm

Guanqun Wang, Yin Zhuang, He Chen*, Liang Chen

*Corresponding author for this work

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

1 Citation (Scopus)

Abstract

Harbor automatic detection is a scene interpretation in remote sensing image processing. Fast and accurate harbor detection can significantly improve the performance of inshore ship detection. In order to achieve harbor detection in complex remote sensing images, in this paper, a novel pattern coding algorithm is proposed. The proposed harbor detection method has three steps: First, the harbor water area is extracted by using the definition circle (DC) model. Secondly, pre-generated eight KEY patterns are multiplied with the local scenes, and the probability density function (PDF) of the multiplied local scene is recorded. Finally, the Euclidean distance between the eight patterns' PDFs and the original local scene's PDF is calculated, then compared with the threshold and coded, so as to realize the harbor area detection. Experimental results demonstrate that the novel method has outstanding performance on harbor area detection in complex broad width remote sensing images.

Original languageEnglish
Title of host publication2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages6915-6918
Number of pages4
ISBN (Electronic)9781538671504
DOIs
Publication statusPublished - 31 Oct 2018
Event38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Valencia, Spain
Duration: 22 Jul 201827 Jul 2018

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)
Volume2018-July

Conference

Conference38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018
Country/TerritorySpain
CityValencia
Period22/07/1827/07/18

Keywords

  • Euclidean Distance
  • Harbor Detection
  • Pattern Coding
  • Probability Density Function (PDF)
  • Remote Sensing

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