Adversarial domain alignment with contrastive learning for hyperspectral image classification
F Liu, W Gao, J Liu, X Tang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Recently, deep learning-based hyperspectral image (HSI) classification techniques are
flourishing and exhibit good performance, where cross-domain information is usually utilized …
flourishing and exhibit good performance, where cross-domain information is usually utilized …
Remote sensing semantic segmentation via boundary supervision-aided multiscale channelwise cross attention network
High spatial resolution (HSR) remote sensing (RS) images inevitably pose the challenge of
multiscale transformation, as small objects, such as cars and helicopters (HCs), may occupy …
multiscale transformation, as small objects, such as cars and helicopters (HCs), may occupy …
Self-supervised feature learning based on spectral masking for hyperspectral image classification
Deep learning has emerged as a powerful method for hyperspectral image (HSI)
classification. However, a significant prerequisite for HSI classification using deep learning …
classification. However, a significant prerequisite for HSI classification using deep learning …
UAV Hyperspectral Remote Sensing Image Classification: A Systematic Review
Z Zhang, L Huang, Q Wang, L Jiang… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
In recent years, significant advances in unmanned aerial vehicle (UAV) technology and
hyperspectral remote sensing have spurred rapid and innovative developments in UAV …
hyperspectral remote sensing have spurred rapid and innovative developments in UAV …
Fuzzy graph convolutional network for hyperspectral image classification
J Xu, K Li, Z Li, Q Chong, H ** using unmanned aerial vehicle hyperspectral imagery
T Zhang, C Xuan, Y Ma, Z Tang, X Gao - Computers and Electronics in …, 2025 - Elsevier
Accurate and timely access to the spatial distribution of crops is essential for agricultural
management, crop growth monitoring, and agricultural decision support. Unmanned aerial …
management, crop growth monitoring, and agricultural decision support. Unmanned aerial …
Unsupervised Multi-view Graph Contrastive Feature Learning for Hyperspectral Image Classification
Y Chang, Q Liu, Y Zhang, Y Dong - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
As a popular deep learning (DL) algorithm, graph neural network (GNN) has been widely
used in hyperspectral image (HSI) classification. However, most of the GNN-based …
used in hyperspectral image (HSI) classification. However, most of the GNN-based …