An Empirical Research of Multi-Classifier Fusion Methods and Diversity Measure in Remote Sensing Classification. - Hongchao Ma; Wei Zhou; Xinyi Dong; Honggen Xu (WKDD, 2008)

A Novel Endmember Extraction Method Using Sparse Component Analysis for Hyperspectral Remote Sensing Imagery. - Ke Wu 004; Xiaoxiao Feng; Honggen Xu; Yuxiang Zhang 001 (IEEE Access, 2018)

Monitoring of Tianwan Nuclear Power Plant Thermal Pollution Based on Remotely Sensed Landsat Data. - Pingjing Nie; Haitao Zhu; Honggen Xu; Yaohuan Huang; Hua Wu 001 (IGARSS, 2020)

Mineral Identification and Mapping by Synthesis of Hyperspectral VNIR/SWIR and Multispectral TIR Remotely Sensed Data With Different Classifiers. - Li Ni; Honggen Xu; Xiaoming Zhou (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

Path Planning for Unmanned Aerial Vehicle Using a Mix-Strategy-Based Gravitational Search Algorithm. - Honggen Xu; Shuai Jiang; Aizhu Zhang (IEEE Access, 2021)

Lithology Classification Using TASI Thermal Infrared Hyperspectral Data with Convolutional Neural Networks. - Huize Liu; Ke Wu 004; Honggen Xu; Ying Xu (Remote. Sens., 2021)

Maize tassel area dynamic monitoring based on near-ground and UAV RGB images by U-Net model. - Xun Yu; Dameng Yin; Chenwei Nie; Bo Ming; Honggen Xu; Yuan Liu; Yi Bai; Mingchao Shao; Minghan Cheng; Yadong Liu; Shuaibing Liu; Zixu Wang; et al. (Comput. Electron. Agric., 2022)

Quantifying effect of maize tassels on LAI estimation based on multispectral imagery and machine learning methods. - Mingchao Shao; Chenwei Nie; Aijun Zhang; Liangsheng Shi; Yuanyuan Zha; Honggen Xu; Hongye Yang; Xun Yu; Yi Bai; Shuaibing Liu; Minghan Cheng; Tao Lin; et al. (Comput. Electron. Agric., 2023)

Estimating leaf age of maize seedlings using UAV-based RGB and multispectral images. - Yi Bai; Liangsheng Shi; Yuanyuan Zha; Shuaibing Liu; Chenwei Nie; Honggen Xu; Hongye Yang; Mingchao Shao; Xun Yu; Minghan Cheng; Yadong Liu; Tao Lin; et al. (Comput. Electron. Agric., 2023)

A Novel Strategy Coupling Optimised Sampling with Heterogeneous Ensemble Machine-Learning to Predict Landslide Susceptibility. - Yongxing Lu; Honggen Xu; Can Wang; Guanxi Yan; Zhitao Huo; Zuwu Peng; Bo Liu; Chong Xu (Remote. Sens., 2024)