Title :
Hierarchical clustering of multispectral images using combined spectral and spatial criteria
Author :
Marçal, André R S ; Castro, Luísa
Author_Institution :
Fac. of Sci., Univ. of Porto, Portugal
Abstract :
An agglomerative hierarchical clustering method, which uses both spectral and spatial information for the aggregation decision, is proposed here. The method is suitable for large multispectral images, provided that an unsupervised classification is previously applied. The method is tested on a synthetic image and on a satellite image of the coastal zone.
Keywords :
geophysical signal processing; image classification; oceanographic regions; oceanographic techniques; remote sensing; agglomerative hierarchical clustering method; coastal zone; multispectral images; satellite image; spatial boundary index; spectral similarity index; synthetic image; unsupervised classification; Clustering methods; Earth; Image analysis; Image classification; Image processing; Multispectral imaging; Pixel; Satellites; Sea measurements; Testing;
Journal_Title :
Geoscience and Remote Sensing Letters, IEEE
DOI :
10.1109/LGRS.2004.839646
