#hyperspectral image classification

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3 papers match

cs.CV2026

MSCM-net: A hyperspectral image classiffcation method based on multi-scale convolution and Mamba

Jianjun Chen, Linlin Wang, Lifang Chang +4

The paper introduces MSCM-net, a hyperspectral image classification model that combines multi‑scale convolutional neural networks with the Mamba sequence model to capture both loca…

#hyperspectral image classification#multi-scale convolution#mamba sequence modeling#dual-branch feature aggregation

cs.CV2026

DAPGNet: Dynamic Adaptive Physics-Guided Graph Diffusion Network for Hyperspectral Image Classification

Pengkun Wang, Weijia Cao, Ning Wang +1

The paper proposes DAPGNet, a graph diffusion network that incorporates physical priors from contiguous spectral bands to improve hyperspectral image classification, using adaptive…

#hyperspectral image classification#graph neural networks#physics‑guided learning#spectral‑spatial modeling

cs.CV2026

MBTI: A Multi-Branch Efficient Fine-Tuning Framework for Hyperspectral Image Classification with Foundation Models

Mingzhen Xu, Haonan Guo, Di Wang +9

The paper introduces MBTI, a multi-branch fine‑tuning framework that adapts hyperspectral foundation models to classification tasks while preserving full‑band spectral information…

#hyperspectral image classification#foundation models#multi-branch architecture#low-rank adaptation