DocumentCode :
2300081
Title :
Querying remote sensing and GIS repositories with spatial association rules
Author :
Marchisio, Giovanni B. ; Koperski, Krzysztof ; Sanella, Michael
Author_Institution :
Data Anal. Prod. Div., Mathsoft Inc., Seattle, WA, USA
Volume :
7
fYear :
2000
fDate :
2000
Firstpage :
3054
Abstract :
The authors describe the fusion of multispectral image and GIS data mining functions in a module that implements spatial association rules. Spatial association rules may represent: 1) topological relationships between spatial objects; 2) spatial orientation or ordering; and 3) distance information. Their approach relies on a fast and unique segmentation algorithm that combines information with edge-based information in a variational framework. The indexing strategy distinguishes between three levels of features: 1) pixel level, 2) region level, and 3) scene level features. They use pixel level information for the extraction of higher level features, and in the process of query refinement. Region level features describe groups of contiguous pixels. Following segmentation, they describe each region with a boundary and a number of attributes, like spectral endmember types and percentages, textural classes, shape, size, fractal scale, etc. They quantify shape, orientation and other geometric properties of the segments by computing 32 moments. Scene level features describe global properties of whole scenes, and the spatial relationships of the largest regions in them. The second level of features can optionally support definition of semantic labels from multiple attributes, which include GIS attributes, if present. At a higher level, they can attempt to construct semantic labels from a tree of topological relationships. They store images and features in a database to enable fast access, data integrity and easy interfacing with other applications
Keywords :
data mining; geographic information systems; geophysical signal processing; geophysical techniques; image processing; query formulation; query processing; remote sensing; terrain mapping; GIS; algorithm; classification; data fusion; data mining; distance information; feature extraction; geophysical measurement technique; image processing; image segmentation; image texture; indexing strategy; land surface; multispectral image; ordering; pixel level; querying; region level; remote sensing; scene level; scene level feature; spatial association rule; spatial association rules; spatial orientation; spatial relationship; terrain mapping; topological relationship; Association rules; Data mining; Fractals; Geographic Information Systems; Image segmentation; Indexing; Layout; Multispectral imaging; Remote sensing; Shape;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2000. Proceedings. IGARSS 2000. IEEE 2000 International
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-6359-0
Type :
conf
DOI :
10.1109/IGARSS.2000.860333
Filename :
860333
Link To Document :
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