17 天前 - … to intelligently combine multiscale contextual semantic and statistical texture features,
… The advent of deep learning technology has ushered in a new epoch for the spectral–…

39 天前 - … learners to extract multi-scale spectral-spatial features and global-local combined
features in … When the training samples are limited, these deep learning methods are prone to …

52 天前 - … Therefore, in this paper, we propose a lightweight multiscale dense network to
improve … combined with a 3D Gabor filter for hyperspectral remote sensing image classification. …

60 天前 - … for each pixel in the hyperspectral image and this method … feature extraction
capabilities while efficiently combining … sophisticated machine learning algorithms for …

64 天前 - … deep learning-based methods have gained increasing attention in hyperspectral
classification, … To combine deep graph node features of different scales and implement a …

75 天前 - … deep learning based HSI works lack of extraction and utilization of multi-grained
multi-scale information and multi-scale local… Different from them, we are the first to combine the …

78 天前 - Several deep learning-based models have been … convolutional neural network (CNN)-based
on multiscale … to fully cover the non-linear combination which helps to improve the …

91 天前 - … In view of this, this paper proposed a multi-scale selection … UAV hyperspectral
imagery combined with deep learning … model by combining different types of features(OWs, VIs, …

106 天前 - … Traditional machine learning methods for hyperspectral classification have … to
combine multi-scale spatial–spectral features, the module that converts the shallow features into …

144 天前 - … to HSI classification consider the combination of 2D CNN … Recently, deep learning
(DL) methods have provided new … feature information using multi-scale spectral features. …