Skip to content

Author

Hongmin Gao

3 papers indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

2026

ASSCA-Net: An Adaptive Spectral–Spatial Cooperative Attention Network for Hyperspectral Image Classification

Hyperspectral images (HSIs) possess fine spectral resolution. They can capture continuous and detailed spectral curves of ground objects, providing rich information for accurate classification. However, real-world scenes commonly suffer from diverse ground object morphology, spectral variability, and insufficient spati...

Shu-Fang Xu, Wei-Wen Xu, Shu-Yu Fei et al. · 0 citations
Open access 2026

S2TMN: A Spectral–Spatial–Temporal Mamba Network for Hyperspectral Image Change Detection

Hyperspectral image (HSI) change detection (CD) aims to identify land-cover changes from bitemporal hyperspectral observations by jointly exploiting spectral and spatial information. Existing methods mainly rely on convolutional neural networks or Transformer architectures. However, CNN-based methods are limited in cap...

Xiao-Dong Wei, Rui-Zhe Liu, Ji-Yuan Li et al. · 0 citations
Jul 2026

Seed-to-Semantics: Few-Shot Prototype-Guided Progressive Learning for Hyperspectral and LiDAR Classification

Deep learning-based fusion of hyperspectral images (HSI) and LiDAR has achieved strong performance in multimodal remote sensing classification, but its success is heavily constrained by the high cost of pixel-wise annotation. In extremely label-scarce regimes, such as 2-5 labeled samples per class, conventional deep mo...

Yiyan Zhang, Hongmin Gao, Weiping Ding et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.