Diverse Hyperspectral Remote Sensing Image Synthesis With Diffusion Models-Reference-Cited by-同舟云学术

Diverse Hyperspectral Remote Sensing Image Synthesis With Diffusion Models

Published:2023 Issue: Volume:61 Page:1-16
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Liu Liqin¹^ORCID,Chen Bowen¹^ORCID,Chen Hao²,Zou Zhengxia³^ORCID,Shi Zhenwei¹^ORCID

Affiliation:

1. Image Processing Center, School of Astronautics, the State Key Laboratory of Virtual Reality Technology and Systems, Shen Yuan Honors College, Beihang University, Beijing, China

2. Shanghai Artificial Intelligence Laboratory, Shanghai, China

3. Department of Guidance, Navigation and Control, School of Astronautics, Beihang University, Beijing, China

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Beijing Natural Science Foundation

Academic Excellence Foundation of BUAA for Ph.D. Students

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/10006360/10327767.pdf?arnumber=10327767

Reference89 articles.

1. Pixel-Aware Deep Function-Mixture Network for Spectral Super-Resolution

2. Physics-Informed Hyperspectral Remote Sensing Image Synthesis With Deep Conditional Generative Adversarial Networks

3. Endmember Variability in Hyperspectral Analysis: Addressing Spectral Variability During Spectral Unmixing

4. Generating diverse high-fidelity images with VQ-VAE-2;razavi;Proc 33rd Int Conf Neural Inf Process Syst,2019

5. Spectral Super-Resolution Network Guided by Intrinsic Properties of Hyperspectral Imagery

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