Multisource Remote Sensing Imagery Fusion Scheme Based on Bidimensional Empirical Mode Decomposition (BEMD) and Its Application to the Extraction of Bamboo Forest. - Guang Liu 001; Lei Li; Hui Gong; Qingwen Jin; Xinwu Li; Rui Song 004; Yun Chen; Yu Chen; Chengxin He; Yuqing Huang; Yuefeng Yao (Remote. Sens., 2017)

Using Field Spectroradiometer to Estimate the Leaf N/P Ratio of Mixed Forest in a Karst Area of Southern China: A Combined Model to Overcome Overfitting. - Wen He; Yanqiong Li; Jinye Wang; Yuefeng Yao; Ling Yu; Daxing Gu; Longkang Ni (Remote. Sens., 2021)

Evaluation of Decision Fusions for Classifying Karst Wetland Vegetation Using One-Class and Multi-Class CNN Models with High-Resolution UAV Images. - Yuyang Li; Tengfang Deng; Bolin Fu; Zhinan Lao; Wenlan Yang; Hongchang He; Donglin Fan; Wen He; Yuefeng Yao (Remote. Sens., 2022)

Comparison of Different Transfer Learning Methods for Classification of Mangrove Communities Using MCCUNet and UAV Multispectral Images. - Yuyang Li; Bolin Fu; Xidong Sun; Donglin Fan; Yeqiao Wang; Hongchang He; Ertao Gao; Wen He; Yuefeng Yao (Remote. Sens., 2022)

Accurately estimating and revealing the patterns of leaf C:N:P stoichiometry with remote sensing and neural network methods in a karst area. - Wen He; Yuefeng Yao; Yanqiong Li; Ling Yu; Longkang Ni; Bolin Fu; Jinjun Huang; Donxing Li (Comput. Electron. Agric., 2025)