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Image Feature Fusion of Hyperspectral Imaging and MRI for Automated Subtype Classification and Grading of Adult Diffuse Gliomas According to the 2021 WHO Criteria. [PDF]
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IEEE Transactions on Geoscience and Remote Sensing, 2020
Deep learning methods have been widely used in hyperspectral image classification and have achieved state-of-the-art performance. Nonetheless, the existing deep learning methods are restricted by a limited receptive field, inflexibility, and difficult generalization problems in hyperspectral image classification. To solve these problems, we propose HSI-
Ji He 0003 +4 more
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Deep learning methods have been widely used in hyperspectral image classification and have achieved state-of-the-art performance. Nonetheless, the existing deep learning methods are restricted by a limited receptive field, inflexibility, and difficult generalization problems in hyperspectral image classification. To solve these problems, we propose HSI-
Ji He 0003 +4 more
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HSI-MFormer: Integrating Mamba and Transformer Experts for Hyperspectral Image Classification
IEEE Transactions on Geoscience and Remote SensingYan He +4 more
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HSI-GCN: hyperspectral image classification algorithm based on Gabor convolutional networks
World Journal of Engineering, 2021Purpose Hyperspectral imaging (HSI) systems are becoming potent technologies for computer vision tasks due to the rich information they uncover, where each substance exhibits a distinct spectral distribution. Although the high spectral dimensionality of the data empowers feature learning, the joint spatial–spectral ...
Houari Youcef Moudjib +3 more
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Dual Convolutional Neural Networks for Hyperspectral Satellite Images Classification (DCNN-HSI)
2020Hyperspectral Satellite Images (HSI) presents a very interesting technology for mapping, environmental protection, and security. HSI is very rich in spectral and spatial characteristics, which are non-linear and highly correlated which makes classification difficult.
Maissa Hamouda, Med Salim Bouhlel
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Biomedical Engineering: Applications, Basis and Communications
The accurate categorization of crop kinds with hyperspectral remote sensing imaging (HRSI) represents an imperative adaption in agriculture and is of huge emergence in estimating the yield of crops and monitoring growth. Amidst the deep models, convolutional neural networks (CNNs) tend to be the best technique for hyperspectral image (HSI ...
Deepak Dharrao +3 more
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The accurate categorization of crop kinds with hyperspectral remote sensing imaging (HRSI) represents an imperative adaption in agriculture and is of huge emergence in estimating the yield of crops and monitoring growth. Amidst the deep models, convolutional neural networks (CNNs) tend to be the best technique for hyperspectral image (HSI ...
Deepak Dharrao +3 more
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