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International Journal of Remote Sensing Volume 29, 2008 - Issue 12
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Remote Sensing Letters

Improved classification and segmentation of hyperspectral images using spectral warping

B. Demir Kocaeli University Laboratory of Image and Signal Processing (KULIS), Electronics and Telecommunications Engineering Department, 41040 Kocaeli, Turkey
&
S. Ertürk Kocaeli University Laboratory of Image and Signal Processing (KULIS), Electronics and Telecommunications Engineering Department, 41040 Kocaeli, TurkeyCorrespondence[email protected]
Pages 3657-3663 | Received 10 Jul 2007, Accepted 23 Feb 2008, Published online: 16 May 2008

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D. Çeşmeci & M. K. Güllü. (2009) Phase‐correlation‐based hyperspectral image classification using multiple class representatives obtained with k‐means clustering. International Journal of Remote Sensing 30:14, pages 3827-3834.
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Articles from other publishers (4)

Xiaoyan Luo, Sen Li, Xiaofeng Shi & Jihao Yin. (2023) Learning from small data for hyperspectral image classification. Signal Processing 213, pages 109183.
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Janete S. Borges, José M. Bioucas-Dias & Andre R. S. Marcal. (2011) Bayesian Hyperspectral Image Segmentation With Discriminative Class Learning. IEEE Transactions on Geoscience and Remote Sensing 49:6, pages 2151-2164.
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Andrés Eduardo Gutiérrez-Rodríguez, Miguel Angel Medina-Pérez, José Fco. Martínez-Trinidad, Jesús Ariel Carrasco-Ochoa & Milton García-Borroto. 2010. Advances in Pattern Recognition. Advances in Pattern Recognition 220 229 .
B. Demir & S. Erturk. (2009) Clustering-Based Extraction of Border Training Patterns for Accurate SVM Classification of Hyperspectral Images. IEEE Geoscience and Remote Sensing Letters 6:4, pages 840-844.
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