Title :
Merging regions based on the VDM distance
Author :
Abad, F. ; García-Consuegra, J. ; Cisneros, G.
Author_Institution :
Seccion de Teledeteccion y SI, Univ. de Castilla-La Mancha, Spain
Abstract :
In a per-object classification system, many authors have advised a two-step process: First by obtaining small, homogeneous objects, second by merging those regions. The authors present a new method to decide whether two regions belong to the same class or not. An extension of Chang and Li´s method of adaptive region-growing is proposed, in order to take into account the case of multiband images. Region dispersion is calculated by means of the vector degree of match (VDM) distance, proposed by Baraldi and Parmiggiani. This distance measures the similarity degree of two n-dimensional vectors. Each intra-region similarity is computed and then compared with other regions. Instead of defining a similarity degree fixed threshold, obtained by a trial and error process, they propose an adaptive one, based on a global percentage similarity. In short, this work proposes a reduction of the features space into a one-dimensional space which measures the similarity by a non-parametric criterion, thereby avoiding the determination of the density function problem
Keywords :
geophysical signal processing; geophysical techniques; image classification; image processing; multidimensional signal processing; remote sensing; terrain mapping; VDM; VDM distance; adaptive region-growing; density function problem; feature space; features space; geophysical measurement technique; image classification; image processing; intra-region similarity; land surface; merging region; multiband image; multidimensional signal processing; nonparametric criterion; one-dimensional space; per-object classification; region dispersion; remote sensing; terrain mapping; two-step process; vector degree of match; vector degree of match distance; Density functional theory; Density measurement; Electronic mail; Fractals; Image edge detection; Image segmentation; Merging; Remote sensing; Satellites; Telecommunications;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2000. Proceedings. IGARSS 2000. IEEE 2000 International
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-6359-0
DOI :
10.1109/IGARSS.2000.861648