Combining Spectral and Texture Features for Estimating Leaf Area Index and Biomass of Maize Using Sentinel-1/2, and Landsat-8 Data. - Peilei Luo; Jingjuan Liao; Guozhuang Shen (IEEE Access, 2020)

A mosaic method for multi-temporal data registration by using convolutional neural networks for forestry remote sensing applications. - Yi Zeng 002; Zihan Ning; Peng Liu 024; Peilei Luo; Yi Zhang; Guojin He (Computing, 2020)

Using Multi-Angular Hyperspectral Data to Estimate the Vertical Distribution of Leaf Chlorophyll Content in Wheat. - Bin Wu; Wenjiang Huang; Huichun Ye; Peilei Luo; Yu Ren 001; Weiping Kong (Remote. Sens., 2021)

Monitoring the Vertical Distribution of Maize Canopy Chlorophyll Content Based on Multi-Angular Spectral Data. - Bin Wu; Huichun Ye; Wenjiang Huang; Hongye Wang; Peilei Luo; Yu Ren 001; Weiping Kong (Remote. Sens., 2021)

Enabling Deep-Neural-Network-Integrated Optical and SAR Data to Estimate the Maize Leaf Area Index and Biomass with Limited In Situ Data. - Peilei Luo; Huichun Ye; Wenjiang Huang; Jingjuan Liao; Quanjun Jiao; Anting Guo; Binxiang Qian (Remote. Sens., 2022)

Evaluation of Hybrid Models for Maize Chlorophyll Retrieval Using Medium- and High-Spatial-Resolution Satellite Images. - Anting Guo; Huichun Ye; Guoqing Li; Bing Zhang 001; Wenjiang Huang; Quanjun Jiao; Binxiang Qian; Peilei Luo (Remote. Sens., 2023)