Erting Pan — accepted AI-conference papers

2024

Unmixing Before Fusion: A Generalized Paradigm for Multi-Source-based Hyperspectral Image Synthesis

Yang Yu, Erting Pan, Xinya Wang, Yuheng Wu, Xiaoguang Mei, Jiayi Ma

CVPR 2024poster

In the realm of AI data serves as a pivotal resource. Real-world hyperspectral images (HSIs) bearing wide spectral characteristics are particularly valuable. However the acquisition of HSIs is always costly and time-intensive resulting in a severe data-thirsty issue in HSI research and applications.…

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2021

Unsupervised Stacked Capsule Autoencoder for Hyperspectral Image Classification

Erting Pan, Yong Ma, Xiaoguang Mei, Fan Fan, Jiayi Ma

ICASSP 2021accepted

Since CapsNet [1] shattered all previous records of algorithms for image recognition, the capsule's conception has attracted bright attention. It interprets an object by the geometrical arrangement of parts. We think it can be transferred to hyperspectral images. In a hyperspectral data cube, each p…

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