Hedgerow segmentation on VHR optical satellite images for habitat monitoring

M. Arias, J. Inglada, R. Lucas, P. Blonda

Research output: Contribution to journalArticlepeer-review

3 Citations (SciVal)


This paper presents a method for hedgerow extraction from very high resolution optical images using image segmentation. The method is based on a connected component region growing approach followed by an object based image analysis filtering allowing to introduce high level knowledge about the characteristics of the desired hedgerows. The proposed approach is used as a part of the EODHaM image processing system developed in the framework of the BIO SOS FP7 project.
Original languageEnglish
Pages (from-to)3301-3304
JournalIEEE International Geoscience and Remote Sensing Symposium Proceedings
Publication statusPublished - 27 Jan 2014


  • biodiversity monitoring
  • segmentation
  • connected component
  • mean-shift
  • hedgerows


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