CLDiff: Weakly Supervised Cloud Detection With Denoising Diffusion Probabilistic Models-Reference-Cited by-同舟云学术

CLDiff: Weakly Supervised Cloud Detection With Denoising Diffusion Probabilistic Models

Published:2024 Issue: Volume:62 Page:1-18
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Liu Yang¹^ORCID,Li Qingyong²^ORCID,Yao Zhigang³,Jiang Jun³,Qiu Zhijun⁴^ORCID,Wang Wen¹^ORCID

Affiliation:

1. Key Laboratory of Big Data and Artificial Intelligence in Transportation, Beijing Jiaotong University, Beijing, China

2. Key Laboratory of Big Data and Artificial Intelligence in Transportation (Beijing Jiaotong University), Ministry of Education, and the Frontiers Science Center for Smart High-Speed Railway System, Beijing Jiaotong University, Beijing, China

3. Beijing Institute of Applied Meteorology, Beijing, China

4. Donadeo Innovation Centre for Engineering, University of Alberta, Edmonton, AB, Canada

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Beijing Natural Science Foundation

Shanghai Industrial Development Project

China Railway Taiyuan Group Company Ltd., Research and Development Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/36/10354519/10556626.pdf?arnumber=10556626

Reference63 articles.

1. Novel Piecewise Distance Based on Adaptive Region Key-Points Extraction for LCCD With VHR Remote-Sensing Images

2. Spectral–Spatial and Cascaded Multilayer Random Forests for Tree Species Classification in Airborne Hyperspectral Images

3. Detecting Comma-Shaped Clouds for Severe Weather Forecasting Using Shape and Motion

4. Prediction of Solar Irradiance and Photovoltaic Solar Energy Product Based on Cloud Coverage Estimation Using Machine Learning Methods

5. Collision Avoidance Modelling in Airline Traffic Based on the Change of Airplane Movements and Dynamic Clouds