论文信息 - A tree counting algorithm for precision agriculture tasks

A tree counting algorithm for precision agriculture tasks

Abstract This study proposes an automatic procedure for individual fruit tree identification using GeoEye-1 sensor data. Depending on site-specific pruning practices, the morphologic characteristics of tree crowns may generate one or more brightness peaks (tree top) on the imagery. To optimize tree counting and to minimize typical background noises from orchards (i.e. bare soil, weeds, and man-made objects), a four-step algorithm was implemented with spatial transforms and functions suitable for spaced stands (asymmetrical smoothing filter, local minimum filter, mask layer, and spatial aggregation operator). System performance was evaluated through objective criteria, showing consistent results in fast capturing tree position for precision agriculture tasks.

[1] Darius S. Culvenor,et al. TIDA: an algorithm for the delineation of tree crowns in high spatial resolution remotely sensed imagery , 2002 .

[2] Ramakant Nevatia,et al. Building Detection and Description from a Single Intensity Image , 1998, Comput. Vis. Image Underst..

[3] Timothy A. Warner,et al. High-spatial-resolution remote sensing , 2006 .

[4] D. Leckie,et al. The Individual Tree Crown Approach Applied to Ikonos Images of a Coniferous Plantation Area , 2006 .

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

[6] M. I. Saripan,et al. Semi-automatic detection and counting of oil palm trees from high spatial resolution airborne imagery , 2011 .

[7] Mathias Schardt,et al. Single tree detection in very high resolution remote sensing data , 2007 .

[8] Josiane Masson. Use of Very High Resolution Airborne and Spaceborne Imagery: a Key Role in the Management of Olive, Nuts and Vineyard Schemes in the Frame of the Common Agricultural Policy of the European Union , 2005 .