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Indexing of mid-resolution satellite images with structural attributes

Bhattacharya, A.; Roux, M.; Maitre, H.; Jermyn, I.H.; Descombes, X.; Zerubia, J.

Indexing of mid-resolution satellite images with structural attributes Thumbnail


Authors

A. Bhattacharya

M. Roux

H. Maitre

X. Descombes

J. Zerubia



Contributors

Chen Jun
Editor

Jiang Jie
Editor

Shailesh Nayak
Editor

Abstract

Satellite image classification has been a major research field for many years with its varied applications in the field of Geography, Geology, Archaeology, Environmental Sciences and Military purposes. Many different techniques have been proposed to classify satellite images with color, shape and texture features. Complex indices like Vegetation index (NDVI), Brightness index (BI) or Urban index (ISU) are used for multi-spectral or hyper-spectral satellite images. In this paper we will show the efficiency of structural features describing man-made objects in mid-resolution satellite images to describe image content. We will then show the state-of-the-art to classify large satellite images with structural features computed from road networks and urban regions extracted on small image patches cut in the large image. Fisher Linear Discriminant (FLD) analysis is used for feature selection and a one-vsrest probabilistic Gaussian kernel Support Vector Machines (SVM) classification method is used to classify the images. The classification probabilities associated with each subimage of the large image provide an estimate of the geographical class coverage.

Citation

Bhattacharya, A., Roux, M., Maitre, H., Jermyn, I., Descombes, X., & Zerubia, J. (2008). Indexing of mid-resolution satellite images with structural attributes. In C. Jun, J. Jie, & S. Nayak (Eds.), International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, part B4 (187-192)

Conference Name Proc. InternXXIst ISPRS Congress, Technical Commission IVational Society for Photogrammetry and Remote Sensing (ISPRS)
Conference Location Beijing
Publication Date Jul 1, 2008
Deposit Date Aug 12, 2011
Publicly Available Date Mar 29, 2024
Volume XXXVII
Pages 187-192
Series ISSN 1682-1750
Book Title International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, part B4.
Public URL https://durham-repository.worktribe.com/output/1157992
Publisher URL http://www.isprs.org/proceedings/XXXVII/congress/tc4.aspx

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