A systematic review that introduces a framework for feature extraction in remote sensing, traces its evolution in the data value chain, and synthesizes trends toward unified representations and foundation models.
Three-dimensional convolutional neural network model for tree species classification using airborne hyperspectral images
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ASSR-Net uses directional perception for anisotropic spatial structures and spectral priors for calibration to outperform prior methods in hyperspectral image fusion.
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Feature Extraction in the Remote Sensing Data Value Chain: A Systematic Review of Methods and Applications
A systematic review that introduces a framework for feature extraction in remote sensing, traces its evolution in the data value chain, and synthesizes trends toward unified representations and foundation models.