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19 January 2001 Morphological segmentation/classification of vegetation cover types in remotely sensed images
Teresa Barata, Pedro Pina, Isabel Granado
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Proceedings Volume 4170, Image and Signal Processing for Remote Sensing VI; (2001) https://doi.org/10.1117/12.413887
Event: Europto Remote Sensing, 2000, Barcelona, Spain
Abstract
A methodology based on mathematical morphology operators to classify vegetation cover types in remotely sensed images (ortho and satellite) is proposed in this paper. It consists on the automatic creation of the training sets by integrating the data extracted at higher spatial resolution with the corresponding data at higher spectral resolution, on the geometrical modelling of these sets to create a decision region for each class and on the automatic definition of the elementary units to be classified. The proposed approach is tested and illustrated with remotely sensed images from a region in centre Portugal.
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Teresa Barata, Pedro Pina, and Isabel Granado "Morphological segmentation/classification of vegetation cover types in remotely sensed images", Proc. SPIE 4170, Image and Signal Processing for Remote Sensing VI, (19 January 2001); https://doi.org/10.1117/12.413887
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KEYWORDS
Image segmentation
Vegetation
Earth observing sensors
Satellites
Spatial resolution
Spectral resolution
Modeling
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