Sciweavers

Share
ICIAP
2001
Springer

Remote Sensed Images Segmentation through Shape Refinement

10 years 4 months ago
Remote Sensed Images Segmentation through Shape Refinement
A novel approach to the automatic classiJcation of remote sensed images is proposed. This approach is based on a three-phase procedure: first pixels which belong to the areas of interest with large likelihood are selected as seeds; second the seeds are refined into connected shapes using two well known imageprocessing techniques; third the results of the shape refinement algorithms are merged togethex The initial seed extraction is performed using a simple thresholding strategy applied to NDVI4-3 index. Subsequently shape refinement through Seeded Region Growing and WatershedDecomposition is applied, finally a merging procedure is applied to build likelihood maps. Experimental results are presented to analyze the correctness and robustness of the method in recognizing vegetationareas aroundMount Etna.
Giovanni Gallo, Giorgio Grasso, Salvatore Nicotra,
Added 08 Dec 2009
Updated 08 Dec 2009
Type Conference
Year 2001
Where ICIAP
Authors Giovanni Gallo, Giorgio Grasso, Salvatore Nicotra, Alfredo Pulvirenti
Comments (0)
books