Search Results for author: Menghui Jiang

Found 4 papers, 0 papers with code

A physics-constrained machine learning method for mapping gapless land surface temperature

no code implementations3 Jul 2023 Jun Ma, Huanfeng Shen, Menghui Jiang, Liupeng Lin, Chunlei Meng, Chao Zeng, Huifang Li, Penghai Wu

Specifically, the light gradient-boosting machine (LGBM) model, which uses only remote sensing data as input, serves as the pure ML model.

An Integrated Framework for the Heterogeneous Spatio-Spectral-Temporal Fusion of Remote Sensing Images

no code implementations1 Sep 2021 Menghui Jiang, Huanfeng Shen, Jie Li, Liangpei Zhang

Images from many remote sensing satellites, including MODIS, Landsat-8, Sentinel-1, and Sentinel-2, are utilized in the experiments.

Coupling Model-Driven and Data-Driven Methods for Remote Sensing Image Restoration and Fusion

no code implementations13 Aug 2021 Huanfeng Shen, Menghui Jiang, Jie Li, Chenxia Zhou, Qiangqiang Yuan, Liangpei Zhang

In this paper, we systematically investigate the coupling of model-driven and data-driven methods, which has rarely been considered in the remote sensing image restoration and fusion communities.

Image Restoration

Spatial-Spectral Fusion by Combining Deep Learning and Variation Model

no code implementations4 Sep 2018 Huanfeng Shen, Menghui Jiang, Jie Li, Qiangqiang Yuan, Yanchong Wei, Liangpei Zhang

In the field of spatial-spectral fusion, the model-based method and the deep learning (DL)-based method are state-of-the-art.

Cannot find the paper you are looking for? You can Submit a new open access paper.