Results 161 to 170 of about 4,082 (191)

Hyperspectral Imaging for the Colorimetric Characterization of Purple Manuscripts: Accuracy, Biases, and Diagnostic Potential. [PDF]

Sensors (Basel)
Fornacelli C, Cucci C, Casini A, Aceto M, Picollo M.   +4 more
europepmc   +1 more source

HSI-BERT: Hyperspectral Image Classification Using the Bidirectional Encoder Representation From Transformers

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, Lina Zhao, Mengmeng Zhang
exaly   +3 more sources

HSI-Mixer: Hyperspectral Image Classification Using the Spectral–Spatial Mixer Representation From Convolutions

IEEE Geoscience and Remote Sensing Letters, 2022
Hongbo Liang, Wenxing Bao, Xiangfei Shen   +2 more
exaly   +3 more sources

HSI-MFormer: Integrating Mamba and Transformer Experts for Hyperspectral Image Classification

IEEE Transactions on Geoscience and Remote Sensing
Bing Tu, Antonio Plaza, Bo Liu
exaly   +3 more sources

HSI-GCN: hyperspectral image classification algorithm based on Gabor convolutional networks

World Journal of Engineering, 2021
Purpose 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, Duan Haibin, Baochang Zhang, Mohammed Salah Ahmed Ghaleb   +3 more
openaire   +2 more sources

Dual Convolutional Neural Networks for Hyperspectral Satellite Images Classification (DCNN-HSI)

, 2020
Hyperspectral 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
openaire   +2 more sources

HYPERSPECTRAL IMAGE (HSI)-ASSISTED MULTI-LEVEL CROP CLASSIFICATION WITH SPINALNET-ENABLED FRACTIONAL LIGHT SPECTRUM OPTIMIZER

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, Sarika Deokate, Satpalsing Rajput, Srinivas Ambala   +3 more
openaire   +2 more sources

HSI-SSTRANS: Hyperspectral Image Classification with Spectral and Space Transformer

IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, 2023
Daohong Niu, Xiaohua Zhang, Longfei Li, Yuxuan Zhou   +3 more
openaire   +2 more sources