Title :
Segmentation of remote sensing imagery based on quadtree structures
Author :
Arellano, Olimpia ; Moctezuma, Miguel ; Parmiggiani, Flavio
Author_Institution :
Fac. of Eng., Univ. Nacional Autonoma de Mexico, Mexico City, Mexico
Abstract :
A scheme for image segmentation is presented in order to combine spatial information, hierarchical representations and statistical methods. This approach utilizes a double criterion when a classification of the boundary is made in each level of the quadtree structure. Experimental results demonstrate the power of the authors´ method for remote sensing data such as SAR and airborne camera images
Keywords :
geophysical signal processing; geophysical techniques; image segmentation; quadtrees; remote sensing; boundary classification; double criterion; geophysical measurement technique; hierarchical representation; image processing; image segmentation; land surface; quadtree structure; remote sensing; remote sensing imagery; spatial information combination; statistical method; terrain mapping; Clustering algorithms; Histograms; Image segmentation; Iterative algorithms; Pixel; Remote sensing; Smoothing methods; Spatial resolution; Statistical analysis; Synthetic aperture radar;
Conference_Titel :
Geoscience and Remote Sensing Symposium Proceedings, 1998. IGARSS '98. 1998 IEEE International
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-4403-0
DOI :
10.1109/IGARSS.1998.699672
