Urban Image Classification With Semisupervised Multiscale Cluster Kernels
Published 2010 View Full Article
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Title
Urban Image Classification With Semisupervised Multiscale Cluster Kernels
Authors
Keywords
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Journal
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Volume 4, Issue 1, Pages 65-74
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Online
2010-09-30
DOI
10.1109/jstars.2010.2069085
References
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Related references
Note: Only part of the references are listed.- Multisource Composite Kernels for Urban-Image Classification
- (2010) D. Tuia et al. IEEE Geoscience and Remote Sensing Letters
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- A comparative study of spatial approaches for urban mapping using hyperspectral ROSIS images over Pavia City, northern Italy
- (2009) Xin Huang et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Recent advances in techniques for hyperspectral image processing
- (2009) Antonio Plaza et al. REMOTE SENSING OF ENVIRONMENT
- Multi-Channel Morphological Profiles for Classification of Hyperspectral Images Using Support Vector Machines
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- (2008) L. Gomez-Chova et al. IEEE Geoscience and Remote Sensing Letters
- Spectral and Spatial Classification of Hyperspectral Data Using SVMs and Morphological Profiles
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- Kernel-Based Framework for Multitemporal and Multisource Remote Sensing Data Classification and Change Detection
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- Customizing Kernel Functions for SVM-Based Hyperspectral Image Classification
- (2008) Baofeng Guo et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
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