WAVANGLET: An Efficient Supervised Classifier for Hyperspectral Images

congalton, 1999, Assessing the Accuracy of Remotely Sensed Data Principles and Practices

10.1016/j.jqsrt.2004.05.058

10.1038/nature02461

10.1126/science.1109438

clark, 1990, material absorption band depth mapping of imaging spectrometer data using the complete band shape least squares algorithm simultaneously fit to multiple spectral features from multiple materials, Proc 3rd AVIRIS Workshop, 176

mallat, 1999, A Wavelet Tour of Signal Processing, 107

press, 19861992, Numerical Recipes in Fortran 77 The Art of Scientific Computing, 584

2000, ENVI User's Guide, 615

boardman, 1995, mapping target signatures via partial unmixing of aviris data: in summaries, Proc 5th JPL Airborne Earth Sci Workshop, 1, 23

10.1109/36.3001

10.1029/98JE01894

10.1109/TGRS.2006.870441

10.1016/j.pss.2006.05.035

10.1117/12.353026

10.1007/978-94-011-5252-5_9

10.1117/12.210896

10.1109/TGRS.2003.810712

10.1016/j.icarus.2004.09.012

10.1109/TGRS.2002.804721

wu, 2003, unsupervised classification method for hyperspectral image combining pca and gaussian mixture model, Proc 3rd Int Symp Multispectr Image Process and Pattern Recognit, 5286 proc spie, 729, 10.1117/12.539872

10.1016/S0034-4257(03)00071-3

10.1016/0034-4257(93)90013-N

10.1117/12.312601

bibring, 2004, Mars Express The Scientific Payload, 37

10.1109/TGRS.2006.864389

10.1117/12.373253

10.1109/TGRS.2003.822750

saito, 1994, local discriminant bases, Proc SPIEWavelet Applications in Signal and Image Processing II, 2303, 2

10.1109/18.119732

10.1029/98JE00738

10.1006/icar.1996.5663