3 papers
cs.CV2025
Adaptive Homophily Clustering: Structure Homophily Graph Learning with Adaptive Filter for Hyperspectral Image
Yao Ding, Weijie Kang, Aitao Yang +5
Hyperspectral image (HSI) clustering has been a fundamental but challenging task with zero training labels. Currently, some deep graph clustering methods have been successfully exp…
cs.CV2024
S4DL: Shift-sensitive Spatial-Spectral Disentangling Learning for Hyperspectral Image Unsupervised Domain Adaptation
Jie Feng, Tianshu Zhang, Junpeng Zhang +4
Unsupervised domain adaptation techniques, extensively studied in hyperspectral image (HSI) classification, aim to use labeled source domain data and unlabeled target domain data t…
cs.CV2024
Multi-Teacher Multi-Objective Meta-Learning for Zero-Shot Hyperspectral Band Selection
Jie Feng, Xiaojian Zhong, Di Li +3
Band selection plays a crucial role in hyperspectral image classification by removing redundant and noisy bands and retaining discriminative ones. However, most existing deep learn…