Title: Automatic Mapping of Linear Woody Vegetation Features in Agricultural Landscapes
Citation: Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2008 vol. 4 p. 403-406
Publisher: IEEE
Publication Year: 2008
JRC N°: JRC46806
URI: http://publications.jrc.ec.europa.eu/repository/handle/JRC46806
DOI: 10.1109/IGARSS.2008.4779743
Type: Articles in periodicals and books
Abstract: Development of automatic methods for agricultural mapping and monitoring using remotely sensed imagery has been an important research problem. We describe algorithms that exploit the spectral, textural and object shape information using hierarchical feature extraction and decision making steps for automatic mapping of linear strips of woody vegetation in very high-resolution imagery. First, combinations of multispectral values and multi-scale Gabor and entropy texture features are used for training pixel level statistical classifiers for characterizing individual trees and tree groups with respect to their surroundings. Then, decisions based on object level texture features and morphological shape analysis provide the final detection of woody vegetation having a linear structure. Experiments on QuickBird imagery from different sites show that the proposed algorithms provide good localization of linear strips of woody vegetation in different landscapes.
JRC Directorate:Space, Security and Migration

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