Hyperspectral image hsi classification

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 +3 more
openaire +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 +4 more
openaire +1 more source

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 +1 more source

hyperspectral image classification
deep learning
hyperspectral image

transformer
dimensionality reduction
hyperspectral images

classification
feature extraction
hyperspectral imagery