NDLI: Indexing Satellite Images with Features Computed from Man-Made Structures on the Earth's Surface

Content Provider	IEEE Xplore Digital Library
Author	Bhattacharya, A. Roux, M. Maitre, H. Jermyn, H. Descombes, X. Zerubia, J.
Copyright Year	2007
Description	Author affiliation: GET, Paris (Bhattacharya, A.; Roux, M.; Maitre, H.)
Abstract	Indexing and retrieval from remote sensing image databases relies on the extraction of appropriate information from the data about the entity of interest (e.g. land cover type) and on the robustness of this extraction to nuisance variables. Other entities in an image may be strongly correlated with the entity of interest and their properties can therefore be used to characterize this entity. The road network contained in an image is one example. The properties of road networks vary considerably from one geographical environment to another, and they can therefore be used to classify and retrieve such environments. In this paper, we define several such environments, and classify them with the aid of geometrical and topological features computed from the road networks occurring in them. The relative failure of network extraction methods in certain types of urban area obliges us to segment such areas and to add a second set of geometrical and topological features computed from the segmentations. To validate the approach, feature selection and SVM linear kernel classification are performed on the feature set arising from a diverse image database.
Starting Page	244
Ending Page	250
File Size	688271
Page Count	7
File Format	PDF
ISBN	142441010X
DOI	10.1109/CBMI.2007.385418
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-06-25
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Earth Image segmentation Satellites Image databases Roads Image retrieval Information retrieval Computer networks Data mining Indexing
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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