Applying nonlinear manifold learning to hyperspectral data for land cover classification - researchr publication related

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Yangchi Chen, Melba M. Crawford, Joydeep Ghosh. Applying nonlinear manifold learning to hyperspectral data for land cover classification. In IEEE International Geoscience & Remote Sensing Symposium, IGARSS 2005, July 25-29, 2005, Seoul, Korea, Proceedings. pages 4311-4314, IEEE, 2005. [doi]

The following publications are possibly variants of this publication:

Improved Nonlinear Manifold Learning for Land Cover Classification via Intelligent Landmark SelectionYangchi Chen, Melba M. Crawford, Joydeep Ghosh. igarss 2006: 545-548 [doi]

Polyline Feature Extraction for Land Cover Classification using Hyperspectral DataAlex Henneguelle, Joydeep Ghosh, Melba M. Crawford. iicai 2003: 256-269

Multiresolution manifold learning for classification of hyperspectral dataWonkook Kim, Yangchi Chen, Melba M. Crawford, James C. Tilton, Joydeep Ghosh. igarss 2007: 3785-3788 [doi]

Knowledge Based Stacking of Hyperspectral Data for Land Cover ClassificationYangchi Chen, Melba M. Crawford, Joydeep Ghosh. cidm 2007: 316-322 [doi]

Spatially Adapted Manifold Learning for Classification of Hyperspectral Imagery with Insufficient Labeled DataWonkook Kim, Melba M. Crawford, Joydeep Ghosh. igarss 2008: 213-216 [doi]

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