Spectral-angle-based Laplacian Eigenmaps for nonlinear dimensionality reduction of hyperspectral imagery

Photogrammetric Engineering and Remote Sensing

Volumn 80, Issue 9, 2014, Pages 849-861

  Yan, Lin ^a   Niu, Xutong ^b  

^a SOUTH DAKOTA STATE UNIVERSITY   (United States)

^b TROY UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

LAPLACE TRANSFORMS; REMOTE SENSING; SENSITIVITY ANALYSIS; SPECTROSCOPY; TESTING;

AIRBORNE HYPERSPECTRAL DATA; EUCLIDEAN DISTANCE; HYPER-SPECTRAL IMAGERIES; LAPLACIAN EIGENMAPS; MANIFOLD LEARNING; NONLINEAR DIMENSIONALITY REDUCTION; SENSITIVITY TO VARIATIONS; SPECTRUM MAGNITUDE;

DIMENSIONALITY REDUCTION;

DATA SET; EIGENVALUE; ERROR CORRECTION; LAPLACE TRANSFORM; NONLINEARITY; PIXEL; SPECTRAL RESOLUTION; VEGETATION STRUCTURE;

EID: 84921304800     PISSN: 00991112     EISSN: None     Source Type: Journal    
DOI: 10.14358/PERS.80.9.849     Document Type: Article

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