Title :
An eigen-index technique for content-based retrieval of satellite image databases
Author :
Chang, Lena ; Cheng, Ching-Min
Abstract :
In the study, we present a novel indexing technique for the retrieval of satellite image databases. The approach partitions the original image into some eigen-regions according to local terrain characteristics. And index for each eigen-region, called eigen-index, is extracted by the principal eigenvector of region. Using the eigen-index separation between the specified cover type of query image and that of each object image in the database, the access of archive could be facilitated. To show the performance of the proposed approach, a PHP-based interface agent using the eigen-index for content-based access to a test archive of SPOT images is available over the internet [http://dsp.mmd.ntou.edu.tw]. Through this agent, a user can browse ten best-matched candidates for each query.
Keywords :
geophysical signal processing; geophysical techniques; information retrieval; remote sensing; terrain mapping; IR; content based retrieval; eigen index; eigen-index separation; geophysical measurement technique; indexing method; infared; information retrieval; land surface; local terrain characteristics; multispectral remote sensing; optical image; otical imaging; principal eigenvector; region partition; remote sensing; satellite image database; terrain mapping; visible; Content based retrieval; Covariance matrix; Image databases; Image retrieval; Indexing; Information retrieval; Internet; Multispectral imaging; Remote sensing; Satellites;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2002. IGARSS '02. 2002 IEEE International
Print_ISBN :
0-7803-7536-X
DOI :
10.1109/IGARSS.2002.1026260