A new contrastive-learning framework enables hyperspectral classification with few labels. It masks redundant spatial and ...
A new recommender model called COMPASS learns a user-specific allocation over spectral bands instead of a fixed truncation ...
Researchers report a nonlinear spectral difference scheme with adaptive linear weights that maintains fifth-order accuracy in ...
Authors M. Ghil, M. R. Allen, M. D. Dettinger, K. Ide, D. Kondrashov, M. E. Mann, A. W. Robertson, A. Saunders, Y. Tian, F. Varadi, P. Yiou ...
This research project seeks to address the challenging problem of sharpening remotely sensed hyperspectral imagery with higher resolution multispectral or panchromatic imagery, with a focus on ...
Hyperspectral remote sensing has transformed Earth observation by enabling material- and object-level identification based on diagnostic spectral ...
The natural-gamma and spectral-gamma borehole logging methods can passively measure the ambient-gamma radioactivity produced by the decay of radioisotopes within subsurface materials. The term ...
Authors Douglas S. Dreger, Gregory C. Beroza, Steven M. Day, Christine A. Goulet, Thomas H Jordan, Paul A. Spudich, Jonathan P. Stewart ...
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