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The original hyperspectral data served as the initial features has the characteristics of high dimension and redundancy, which is not suitable for the subsequent analysis, so extracting feature information is needed. The deep learning model has a strong ability in feature learning, but if the model has too many layers which will lead to the original information loss in the process of layer-by-layer...
Aiming at the realization of national feature extraction, an improved face recognition method is proposed in order to preserve some essential local features. Gabor featurebased on bi-directional two-dimensional principal component analysis ((2D)2PCA) is applied for face images. Firstly, Gabor features of different orientations and scales are extracted by the convolution of Gabor filter bank. Secondly,...
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