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

Volume

2

fYear

2002

fDate

2002

Firstpage

1029

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 2002. IGARSS '02. 2002 IEEE International

Print_ISBN

0-7803-7536-X

Type

conf

DOI

10.1109/IGARSS.2002.1025765

Filename

1025765