Indexing and retrieval in large satellite image databases

Henri Maître

doi:10.1117/12.775018

14 November 2007 Indexing and retrieval in large satellite image databases

Henri Maître

Proceedings Volume 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications; 679002 (2007) https://doi.org/10.1117/12.775018
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

Abstract

We are presenting a global scheme devoted to the management of very large databases of remote sensing images, with a specific attention to high resolution images. We show at first the specificities of indexing satellite images. Then we present the different stages of a global system, mostly based on textural feature detection and SVM classification, for indexing and retrieving parts of satellite images with given properties. We show the role of the semantic information extraction and we propose to experiment three different manners to introduce such a semantic information in the query system and to adapt the data to the user's demand.

Citation Download Citation

Henri Maître "Indexing and retrieval in large satellite image databases", Proc. SPIE 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications, 679002 (14 November 2007); https://doi.org/10.1117/12.775018

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available