Tiecheng Bai
Orcid: 0000-0003-0095-558X
According to our database1,
Tiecheng Bai
authored at least 17 papers
between 2014 and 2025.
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Bibliography
2025
AtrousMamaba: An Atrous-Window Scanning Visual State Space Model for Remote Sensing Change Detection.
CoRR, July, 2025
IEEE Trans. Inf. Forensics Secur., 2025
MDS-Net: An Image-Text Enhanced Multimodal Dual-Branch Siamese Network for Remote Sensing Change Detection.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025
Evaluation of pear orchard yield and water use efficiency at the field scale by assimilating remotely sensed LAI and SM into the WOFOST model.
Comput. Electron. Agric., 2025
2024
A Lightweight CNN Based on Axial Depthwise Convolution and Hybrid Attention for Remote Sensing Image Dehazing.
Remote. Sens., August, 2024
WOFOST-N: An improved WOFOST model with nitrogen module for simulation of Korla Fragrant pear tree growth and nitrogen dynamics.
Comput. Electron. Agric., 2024
Cotton Verticillium wilt monitoring based on UAV multispectral-visible multi-source feature fusion.
Comput. Electron. Agric., 2024
Variety classification and identification of jujube based on near-infrared spectroscopy and 1D-CNN.
Comput. Electron. Agric., 2024
2023
Detection of Cotton Verticillium Wilt Disease Severity Based on Hyperspectrum and GWO-SVM.
Remote. Sens., July, 2023
A Study on the Estimation Model of Hyperspectral Reflectivity and Leaf Nitrogen Content of Cotton Leaves.
IEEE Access, 2023
2022
An Improved Exponential Model Considering a Spectrally Effective Moisture Threshold for Proximal Hyperspectral Reflectance Simulation and Soil Salinity Estimation.
Remote. Sens., December, 2022
Cotton Classification Method at the County Scale Based on Multi-Features and Random Forest Feature Selection Algorithm and Classifier.
Remote. Sens., 2022
2019
Improving Jujube Fruit Tree Yield Estimation at the Field Scale by Assimilating a Single Landsat Remotely-Sensed LAI into the WOFOST Model.
Remote. Sens., 2019
Assimilation of Remotely-Sensed LAI into WOFOST Model with the SUBPLEX Algorithm for Improving the Field-Scale Jujube Yield Forecasts.
Remote. Sens., 2019
Jujube yield prediction method combining Landsat 8 Vegetation Index and the phenological length.
Comput. Electron. Agric., 2019
2014
A forecasting method of forest pests based on the rough set and PSO-BP neural network.
Neural Comput. Appl., 2014