Morphological recognition of the spatial patterns of olive trees

A pair of algorithms to segment olive groves and recognize its individual trees in high spatial resolution remotely sensed images is presented. The developed algorithms are applied with success by exploiting the typical spatial patterns presented by this cover and are mainly based on mathematical morphology operators

[1]  Tomas Brandtberg,et al.  Automated delineation of individual tree crowns in high spatial resolution aerial images by multiple-scale analysis , 1998, Machine Vision and Applications.

[2]  Tomas Brandtberg,et al.  Individual tree-based species classification in high spatial resolution aerial images of forests using fuzzy sets , 2002, Fuzzy Sets Syst..

[3]  Douglas J. King,et al.  Automated tree crown detection and delineation in high-resolution digital camera imagery of coniferous forest regeneration , 2002 .

[4]  Pedro Pina,et al.  Morphological Recognition of Olive Grove Patterns , 2003, IbPRIA.

[5]  Jean Serra,et al.  Image Analysis and Mathematical Morphology , 1983 .

[6]  Mary Ann Fajvan,et al.  A Comparison of Multispectral and Multitemporal Information in High Spatial Resolution Imagery for Classification of Individual Tree Species in a Temperate Hardwood Forest , 2001 .

[7]  A. Haara,et al.  Tree Species Classification using Semi-automatic Delineation of Trees on Aerial Images , 2002 .

[8]  F. Gougeon.  A Crown-Following Approach to the Automatic Delineation of Individual Tree Crowns in High Spatial Resolution Aerial Images , 1995 .

[9]  Vincent Muron,et al.  Mise au point de méthodes pour le comptage des oliviers , 2001 .

[10]  Pierre Soille,et al.  Morphological Image Analysis: Principles and Applications , 2003 .

[11]  D. Leckie.  Stand delineation and composition estimation using semi-automated individual tree crown analysis , 2003 .

[12]  Morten Larsen,et al.  Optimizing templates for finding trees in aerial photographs , 1998, Pattern Recognit. Lett..

[13]  J. Pitkänen.  Individual tree detection in digital aerial images by combining locally adaptive binarization and local maxima methods , 2001 .