Support Vector Machines for Crop Classification Using Hyperspectral Data-Reference-Cited by-同舟云学术

Support Vector Machines for Crop Classification Using Hyperspectral Data

Published:2003 Issue: Volume: Page:134-141
ISSN:0302-9743
Container-title:Pattern Recognition and Image Analysis
language:
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Author:

Camps-Valls G.,Gómez-Chova L.,Calpe-Maravilla J.,Soria-Olivas E.,Martín-Guerrero J. D.,Moreno J.

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-540-44871-6_16

Reference11 articles.

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3. Gómez, L., Calpe, J., Martín, J.D., Soria, E., Camps-Valls, E., Moreno, J.: Semi-supervised method for crop classification using hyperspectral remote sensing images. In: 1st International Symposium. Recent Advantages in Quantitative Remote Sensing, Torrent, Spain (September 2002)

4. Gómez-Chova, L., Calpe, J., Soria, E., Camps-Valls, G., Martín, J.D., Moreno, J.: CART-based feature selection of hyperspectral images for crop cover classification. In: IEEE International Conference on Image Processing (2003)

5. Gualtieri, J.A., Chettri, S.: Support vector machines for classification of hyperspectral data. In: International Geoscience and Remote Sensing (2000)

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