SpectralDiff: A Generative Framework for Hyperspectral Image Classification With Diffusion Models

Author:

Chen Ning1ORCID,Yue Jun2ORCID,Fang Leyuan3ORCID,Xia Shaobo4

Affiliation:

1. Institute of Remote Sensing and Geographic Information System, Peking University, Beijing, China

2. School of Automation, Central South University, Changsha, China

3. College of Electrical and Information Engineering, Hunan University, Changsha, China

4. Department of Geomatics Engineering, Changsha University of Science and Technology, Changsha, China

Funder

National Natural Science Foundation of China

Science and Technology Plan Project Fund of Hunan Province

Hunan Provincial Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Reference85 articles.

1. Reducing the Dimensionality of Data with Neural Networks

2. Photorealistic text-to-image diffusion models with deep language understanding;saharia;Proc NIPS,2022

3. Automatic Generation of Standard Deviation Attribute Profiles for Spectral–Spatial Classification of Remote Sensing Data

4. Diffusion models in vision: A survey;croitoru;arXiv 2209 04747,2022

5. Deep Residual Learning for Image Recognition

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