作者: V. D. Mishra , H. S. Negi , A. K. Rawat , A. Chaturvedi , R. P. Singh
DOI: 10.1080/01431160802651959
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摘要: Numerous constrained and unconstrained algorithms have been used to retrieve sub-pixel snow-cover information quantitatively using medium coarse spatial resolution multispectral images from the Advanced Wide Field Sensor (AWiFS) Moderate Resolution Imaging Spectrometer (MODIS) sensors over Himalayan region. Both methods give slow convergence rates inaccurate estimation of components analysed root mean square (RMS) error image deviation. Multiplicative iterative such as Expectation Maximization Maximum Likelihood Method (EMML) Image Space Reconstruction Algorithm (ISRA) based on minimization least squares Kullback–Leibler distances attempted compute endmembers' abundances in unmixing satellite data. In this paper we discuss eigenvalues minimum noise fraction (MNF) transformation bands, data removal MNF selection pure endmembers images. The normalized differe...