Hyperspectral Data Geometry-Based Estimation of Number of Endmembers Using p-Norm-Based Pure Pixel Identification Algorithm.

MLA

Ambikapathi, ArulMurugan, et al. “Hyperspectral Data Geometry-Based Estimation of Number of Endmembers Using p-Norm-Based Pure Pixel Identification Algorithm.” IEEE Transactions on Geoscience & Remote Sensing, vol. 51, no. 5, May 2013, pp. 2753–69. EBSCOhost, https://doi.org/10.1109/TGRS.2012.2213261.

APA

Ambikapathi, A., Chan, T.-H., Chi, C.-Y., & Keizer, K. (2013). Hyperspectral Data Geometry-Based Estimation of Number of Endmembers Using p-Norm-Based Pure Pixel Identification Algorithm. IEEE Transactions on Geoscience & Remote Sensing, 51(5), 2753–2769. https://doi.org/10.1109/TGRS.2012.2213261

Chicago

Ambikapathi, ArulMurugan, Tsung-Han Chan, Chong-Yung Chi, and Kannan Keizer. 2013. “Hyperspectral Data Geometry-Based Estimation of Number of Endmembers Using p-Norm-Based Pure Pixel Identification Algorithm.” IEEE Transactions on Geoscience & Remote Sensing 51 (5): 2753–69. doi:10.1109/TGRS.2012.2213261.