Detection of hedges based on attribute filters

Gabriele Cavallaro*, Benoit Arbelot, Mathieu Fauvel, Mauro Dalla Mura, Jón Atli Benediktsson, Lorenzo Bruzzone, Jocelyn Chanussot, David Sheeren

*Corresponding author for this work

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


The detection of hedges is a very important task for the monitoring of a rural environment and aiding the management of their related natural resources. Hedges are narrow vegetated areas composed of shrubs and/or trees that are usually present at the boundaries of adjacent agricultural fields. In this paper, a technique for detecting hedges is presented. It exploits the spectral and spatial characteristics of hedges. In detail, spatial features are extracted with attribute filters, which are connected operators defined in the mathematical morphology framework. Attribute filters are flexible operators that can perform a simplification of a grayscale image driven by an arbitrary measure. Such a measure can be related to characteristics of regions in the scene such as the scale, shape, contrast etc. Attribute filters can be computed on tree representations of an image (such as the component tree) which either represent bright or dark regions (with respect to their surroundings graylevels). In this work, it is proposed to compute attribute filters on the inclusion tree which is an hierarchical dual representation of an image, in which nodes of the tree corresponds to both bright and dark regions. Specifically, attribute filters are employed to aid the detection of woody elements in the image, which is a step in the process aimed at detecting hedges. In order to perform a characterization of the spatial information of the hedges in the image, different attributes have been considered in the analysis. The final decision is obtained by fusing the results of different detectors applied to the filtered image.

Original languageEnglish
Title of host publicationImage and Signal Processing for Remote Sensing XVIII
Publication statusPublished - 2012
EventImage and Signal Processing for Remote Sensing XVIII - Edinburgh, United Kingdom
Duration: 24 Sept 201226 Sept 2012

Publication series

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


ConferenceImage and Signal Processing for Remote Sensing XVIII
Country/TerritoryUnited Kingdom

Other keywords

  • Attribute filters
  • Decision fusion
  • Hedge detection
  • Inclusion-tree
  • Spectral-spatial analysis


Dive into the research topics of 'Detection of hedges based on attribute filters'. Together they form a unique fingerprint.

Cite this