Phase‐correlation‐based hyperspectral image classification using multiple class representatives obtained with k‐means clustering-Reference-Cited by-同舟云学术

Phase‐correlation‐based hyperspectral image classification using multiple class representatives obtained with k‐means clustering

Published:2009-07 Issue:14 Volume:30 Page:3827-3834
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Çeşmeci D.¹,Güllü M. K.¹

Affiliation:

1. a Kocaeli University Laboratory of Image and Signal processing (KULIS) , Department of Electronic and Telecommunication Engineering , University of Kocaeli , 41040 Kocaeli, Turkey

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431160902777183

Reference8 articles.

1. Kernel-based methods for hyperspectral image classification

2. Phase correlation based supervised classification of hyperspectral images using multiple class representatives

3. Improved classification and segmentation of hyperspectral images using spectral warping

4. An unsupervised method of classifying remotely sensed images using Kohonen self‐organizing maps and agglomerative hierarchical clustering methods

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