Efficiency of the spectral-spatial classification of hyperspectral imaging data

Author:

Borzov S. M.,Potaturkin O. I.

Publisher

Allerton Press

Subject

Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference23 articles.

1. V. V. Kozoderov, T. V. Kondranin, and E. V. Dmitriev, “Discrimination of Natural and Man-Made Objects on the Basis of Hyperspectral Images Taken from an Aircraft,” Issled. Zemli iz Kosmosa, No. 1, 35–42 (2014).

2. A. Plaza, Q. Du, J. M. Bioucas-Dias, et al., “Foreword to the Special Issue on Spectral Unmixing of Remotely Sensed Data,” IEEE Trans. Geosci. Remote Sensing 49 (11), 4103–4110 (2011).

3. A. Plaza, J. A. Benediktsson, J. W. Boardman, et al., “Recent Advances in Techniques for Hyperspectral Image Processing,” Remote Sensing of Environment 113 (1), 110–122 (2009).

4. O. I. Potaturkin, S. M. Borzov, A. O. Potaturkin, and S. B. Uzilov, “Methods and Technologies of Processing of Multispectral and Hyperspectral Data of High-Resolution Remote Sensing,” Vych. Tekhnol. 18 (special issue), 53–60 (2013).

5. X. Huang and L. Zhang, “An SVM Ensemble Approach Combining Spectral, Structural, and Semantic Features for the Classification of High-Resolution Remotely Sensed Imagery,” IEEE Trans. Geosci. Remote Sensing 51 (1), 257–272 (2013).

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