Title :
Image information mining utilizing hierarchical segmentation
Author :
Tilton, James C. ; Marchisio, Giovanni ; Koperski, Krzysztof ; Datcu, Mihai
Author_Institution :
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Abstract :
The hierarchical segmentation (HSEG) algorithm is an approach for producing high quality, hierarchically related image segmentations. The VisiMine image information mining system utilizes clustering and segmentation algorithms for reducing visual information in multispectral images to a manageable size. The project discussed herein seeks to enhance the VisiMine system through incorporating hierarchical segmentations from HSEG into the VisiMine system.
Keywords :
data mining; feature extraction; geophysical signal processing; geophysical techniques; geophysics computing; image segmentation; multidimensional signal processing; remote sensing; terrain mapping; VisiMine; algorithm; data mining; feature extraction; geophysical measurement technique; hierarchical segmentation; image information mining; image processing; image segmentation; image texture; land cover; land surface; multispectral image; remote sensing; terrain mapping; Clustering algorithms; Convergence; Data mining; Feature extraction; Image analysis; Image segmentation; Multispectral imaging; Pixel; Postal services; Tiles;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2002. IGARSS '02. 2002 IEEE International
Print_ISBN :
0-7803-7536-X
DOI :
10.1109/IGARSS.2002.1025765
