Low-rank and sparse representation for hyperspectral image processing: A review
Combining rich spectral and spatial information, a hyperspectral image (HSI) can provide a
more comprehensive characterization of the Earth's surface. To better exploit HSIs, a large …
more comprehensive characterization of the Earth's surface. To better exploit HSIs, a large …
Recent advances on spectral–spatial hyperspectral image classification: An overview and new guidelines
Imaging spectroscopy, also known as hyperspectral imaging, has been transformed in the
last four decades from being a sparse research tool into a commodity product available to a …
last four decades from being a sparse research tool into a commodity product available to a …
[HTML][HTML] Improved transformer net for hyperspectral image classification
Y Qing, W Liu, L Feng, W Gao - Remote Sensing, 2021 - mdpi.com
In recent years, deep learning has been successfully applied to hyperspectral image
classification (HSI) problems, with several convolutional neural network (CNN) based …
classification (HSI) problems, with several convolutional neural network (CNN) based …
HSI-BERT: Hyperspectral image classification using the bidirectional encoder representation from transformers
J He, L Zhao, H Yang, M Zhang… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Deep learning methods have been widely used in hyperspectral image classification and
have achieved state-of-the-art performance. Nonetheless, the existing deep learning …
have achieved state-of-the-art performance. Nonetheless, the existing deep learning …
Diverse region-based CNN for hyperspectral image classification
Convolutional neural network (CNN) is of great interest in machine learning and has
demonstrated excellent performance in hyperspectral image classification. In this paper, we …
demonstrated excellent performance in hyperspectral image classification. In this paper, we …
[HTML][HTML] A deep learning-based approach for automated yellow rust disease detection from high-resolution hyperspectral UAV images
Yellow rust in winter wheat is a widespread and serious fungal disease, resulting in
significant yield losses globally. Effective monitoring and accurate detection of yellow rust …
significant yield losses globally. Effective monitoring and accurate detection of yellow rust …
Deep learning-based classification of hyperspectral data
Classification is one of the most popular topics in hyperspectral remote sensing. In the last
two decades, a huge number of methods were proposed to deal with the hyperspectral data …
two decades, a huge number of methods were proposed to deal with the hyperspectral data …
Spectral–spatial classification of hyperspectral data based on deep belief network
Hyperspectral data classification is a hot topic in remote sensing community. In recent years,
significant effort has been focused on this issue. However, most of the methods extract the …
significant effort has been focused on this issue. However, most of the methods extract the …
Hyperspectral image classification: Potentials, challenges, and future directions
D Datta, PK Mallick, AK Bhoi, MF Ijaz… - Computational …, 2022 - Wiley Online Library
Recent imaging science and technology discoveries have considered hyperspectral
imagery and remote sensing. The current intelligent technologies, such as support vector …
imagery and remote sensing. The current intelligent technologies, such as support vector …
Spectral–spatial classification of hyperspectral images using deep convolutional neural networks
In this letter, a novel deep learning framework for hyperspectral image classification using
both spectral and spatial features is presented. The framework is a hybrid of principal …
both spectral and spatial features is presented. The framework is a hybrid of principal …