TY - GEN
T1 - Virtual Dimensionality estimation by Double Subspace Projection for hyperspectral images
AU - Mei, Shaohui
AU - He, Mingyi
AU - Dai, Yuchao
PY - 2010
Y1 - 2010
N2 - Virtual Dimensionality (VD) estimation is a key problem in feature/band selection and spectral mixture analysis of hyperspectral images. In this paper, a Double Subspace Projection (DSubP) based VD estimation algorithm is proposed. The pixel representation and image representation of a hyperspectral image are utilized to generate two subspaces according to the principal component analysis (PCA), respectively. When the dimensionality of these two subspaces exceeds VD of the hyperspectral image, both sub-space projections show the same reconstruction performance. Therefore, VD can be estimated by judging the difference of reconstruction performance between DSubP. Both synthetic and real hyperspectral experiments demonstrate that the performance of the proposed DSubP based VD estimation algorithm outperforms that of the HFC and NWHFC based VD estimation algorithms.
AB - Virtual Dimensionality (VD) estimation is a key problem in feature/band selection and spectral mixture analysis of hyperspectral images. In this paper, a Double Subspace Projection (DSubP) based VD estimation algorithm is proposed. The pixel representation and image representation of a hyperspectral image are utilized to generate two subspaces according to the principal component analysis (PCA), respectively. When the dimensionality of these two subspaces exceeds VD of the hyperspectral image, both sub-space projections show the same reconstruction performance. Therefore, VD can be estimated by judging the difference of reconstruction performance between DSubP. Both synthetic and real hyperspectral experiments demonstrate that the performance of the proposed DSubP based VD estimation algorithm outperforms that of the HFC and NWHFC based VD estimation algorithms.
KW - Band selection
KW - Feature extraction
KW - Intrinsic dimensionality
KW - Spectral mixture analysis
KW - Virtual Dimensionality
UR - http://www.scopus.com/inward/record.url?scp=78349294965&partnerID=8YFLogxK
U2 - 10.1109/IITA-GRS.2010.5603141
DO - 10.1109/IITA-GRS.2010.5603141
M3 - 会议稿件
AN - SCOPUS:78349294965
SN - 9781424485154
T3 - 2010 2nd IITA International Conference on Geoscience and Remote Sensing, IITA-GRS 2010
SP - 234
EP - 237
BT - 2010 2nd IITA International Conference on Geoscience and Remote Sensing, IITA-GRS 2010
T2 - 2010 2nd IITA Conference on Geoscience and Remote Sensing, IITA-GRS 2010
Y2 - 28 August 2010 through 31 August 2010
ER -