Kunpeng Xu
Orcid: 0000-0002-2093-1553Affiliations:
- Chinese Academy of Forestry, Beijing, China
According to our database1,
Kunpeng Xu
authored at least 14 papers
between 2018 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
Exploring optimal combinations of multi-frequency polarimetric SAR observations to estimate forest above-ground biomass.
Geo spatial Inf. Sci., March, 2025
Forest Height Extraction Based on TomoSAR Technique Using a Novel Phase Error Correction Method.
IEEE Trans. Geosci. Remote. Sens., 2025
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025
An Advanced Approach for Understory Terrain Extraction Utilizing TomoSAR and MCSF Algorithm.
IEEE Geosci. Remote. Sens. Lett., 2025
2024
The Forest Above Ground Biomass Estimation Based on Multi-Feature Combination Method Using Multi-Frequency SAR Data.
Proceedings of the IGARSS 2024, 2024
2023
Remote. Sens., April, 2023
2022
An Improved Generalized Hierarchical Estimation Framework with Geostatistics for Mapping Forest Parameters and Its Uncertainty: A Case Study of Forest Canopy Height.
Remote. Sens., 2022
The Improved Three-Step Semi-Empirical Radiometric Terrain Correction Approach for Supervised Classification of PolSAR Data.
Remote. Sens., 2022
Methods of Sandy Land Detection in a Sparse-Vegetation Scene Based on the Fusion of HJ-2A Hyperspectral and GF-3 SAR Data.
Remote. Sens., 2022
Forest Height Estimation Approach Combining P-Band and X-Band Interferometric SAR Data.
Remote. Sens., 2022
2021
GA-SVR Algorithm for Improving Forest Above Ground Biomass Estimation Using SAR Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
Forest Aboveground Biomass Estimation Using Multi-Features Extracted by Fitting Vertical Backscattered Power Profile of Tomographic SAR.
Remote. Sens., 2021
2019
The Wheat Biomass Estimation Based on Genetic Algorithm Feature Selection Method Using C-Band Polsar Data.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
2018
Convolutional Highway Unit Network for Large-Scale Classification with GF-3 Dual-Pol Sar Data.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018