no code implementations • 3 Feb 2024 • Hossein Bagheri
Alternatively, high resolution satellite Aerosol Optical Depth (AOD) data can be employed for high resolution mapping of PM2. 5.
no code implementations • 3 Feb 2024 • Ali Mirzaei, Hossein Bagheri, Iman Khosravi
In this research, We explore the effectiveness of conditional tabular generative adversarial network (CTGAN) as a synthetic data generation method based on a deep learning network, in addressing the challenge of limited training data for minority classes in crop classification using the fusion of SAR-optical data.
no code implementations • 1 Feb 2023 • Ali Mirzaei, Hossein Bagheri, Mehran Sattari
For this purpose, AOD products were fused by machine learning algorithms using different fusion strategies at two levels: the data level and the decision level.
no code implementations • 29 Nov 2022 • Reza Attarzadeh, Hossein Bagheri, Iman Khosravi, Saeid Niazmardi, Davood Akbarid
Active, passive, and optic data integration could be a comprehensive solution for exploiting the advantages of different sensors aimed at preparing soil moisture maps.
no code implementations • 5 Apr 2022 • Hossein Bagheri
The output of the framework was a machine learning model trained to predict PM2. 5 from MAIAC AOD retrievals and meteorological data.
1 code implementation • 19 Dec 2019 • Xiao Xiang Zhu, Jingliang Hu, Chunping Qiu, Yilei Shi, Jian Kang, Lichao Mou, Hossein Bagheri, Matthias Häberle, Yuansheng Hua, Rong Huang, Lloyd Hughes, Hao Li, Yao Sun, Guichen Zhang, Shiyao Han, Michael Schmitt, Yuanyuan Wang
This is especially true for an automated analysis of remote sensing images on a global scale, which enables us to address global challenges such as urbanization and climate change using state-of-the-art machine learning techniques.
BIG-bench Machine Learning Cultural Vocal Bursts Intensity Prediction +1