254 results on '"Chen, Erxue"'
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2. Discriminative feature constraints via supervised contrastive learning for few-shot forest tree species classification using airborne hyperspectral images
3. Tropical forest AGB estimation based on structure parameters extracted by TomoSAR
4. Exploring a uniform procedure to map Eucalyptus plantations based on fused medium–high spatial resolution satellite images
5. A Lightweight Deeplab V3+ Network Integrating Deep Transitive Transfer Learning and Attention Mechanism for Burned Area Identification
6. Polarimetric SAR cross-calibration method based on stable distributed targets
7. Mapping Coniferous Forest Distribution in a Semi-Arid Area Based on Multi-Classifier Fusion and Google Earth Engine Combining Gaofen-1 and Sentinel-1 Data: A Case Study in Northwestern Liaoning, China
8. Review of Applications of Radar Remote Sensing in Agriculture
9. Land Use Type Change Detection by Landsat TM and Gaofen-1 Data - A Case Study at Jishui County of Jiangxi Province
10. Contributors of the second edition
11. In-season biomass estimation of oilseed rape (Brassica napus L.) using fully polarimetric SAR imagery
12. Modeling forest above-ground biomass dynamics using multi-source data and incorporated models: A case study over the qilian mountains
13. Radiometric Terrain Correction Method Based on RPC Model for Polarimetric SAR Data
14. Mapping the Distribution and Dynamics of Coniferous Forests in Large Areas from 1985 to 2020 Combining Deep Learning and Google Earth Engine
15. A long-term simulation of forest carbon fluxes over the Qilian Mountains
16. Land Use Type Change Detection by Landsat TM and Gaofen-1 Data - A Case Study at Jishui County of Jiangxi Province
17. TSCMDL: Multimodal Deep Learning Framework for Classifying Tree Species Using Fusion of 2D and 3D Features
18. Above-Ground Biomass Estimation for Coniferous Forests in Northern China Using Regression Kriging and Landsat 9 Images
19. Tree Species Classification Using Ground-Based LiDAR Data by Various Point Cloud Deep Learning Methods
20. Assessing Performance of Tomo-SAR and Backscattering Coefficient for Hemi-Boreal Forest Aboveground Biomass Estimation
21. Tropical Forest Aboveground Biomass Estimation Based on Vertical Structures Extracted with Tomosar
22. Uncertainties Analysis in Forest Height Estimation Using Polarimetric Interferometric SAR Data
23. Forest Height Estimation Approach Combining P-Band and X-Band Interferometric SAR Data
24. Reprint of: Estimation of forest above-ground biomass using multi-parameter remote sensing data over a cold and arid area
25. Estimation of forest above-ground biomass using multi-parameter remote sensing data over a cold and arid area
26. Comparison of Machine Learning Methods Applied on Multi-Source Medium-Resolution Satellite Images for Chinese Pine (Pinus tabulaeformis) Extraction on Google Earth Engine
27. The Improved Three-Step Semi-Empirical Radiometric Terrain Correction Approach for Supervised Classification of PolSAR Data
28. An Improved Generalized Hierarchical Estimation Framework with Geostatistics for Mapping Forest Parameters and Its Uncertainty: A Case Study of Forest Canopy Height
29. A New Approach for Forest Height Inversion Using X-Band Single-Pass InSAR Coherence Data
30. Data Augmentation in Prototypical Networks for Forest Tree Species Classification Using Airborne Hyperspectral Images
31. A Deep Fusion uNet for Mapping Forests at Tree Species Levels with Multi-Temporal High Spatial Resolution Satellite Imagery
32. Fine scale optical remote sensing experiment of mixed stand over complex terrain (FOREST) in the Genhe Reserve Area: objective, observation and a case study
33. Comparison of Coniferous Plantation Heights Using Unmanned Aerial Vehicle (UAV) Laser Scanning and Stereo Photogrammetry
34. Oilseed Rape (Brassica napus L.) Phenology Estimation by Averaged Stokes-Related Parameters
35. Feature analysis of LIDAR waveforms from forest canopies
36. Analysis of forest backscattering characteristics based on polarization coherence tomography
37. TSCMDL: Multimodal Deep Learning Framework for Classifying Tree Species Using Fusion of 2-D and 3-D Features
38. Synchronous estimation of DTM and fractional vegetation cover in forested area from airborne LIDAR height and intensity data
39. A New CBAM-P-Net Model for Few-Shot Forest Species Classification Using Airborne Hyperspectral Images
40. Forest Aboveground Biomass Estimation Using Multi-Features Extracted by Fitting Vertical Backscattered Power Profile of Tomographic SAR
41. Improved Prototypical Network Model for Forest Species Classification in Complex Stand
42. List of Contributors
43. An End-to-End Deep Fusion Model for Mapping Forests at Tree Species Levels with High Spatial Resolution Satellite Imagery
44. Examining the Roles of Spectral, Spatial, and Topographic Features in Improving Land-Cover and Forest Classifications in a Subtropical Region
45. Stratification-Based Forest Aboveground Biomass Estimation in a Subtropical Region Using Airborne Lidar Data
46. Mapping multiple tree species classes using a hierarchical procedure with optimized node variables and thresholds based on high spatial resolution satellite data
47. Improving Estimation of Forest Canopy Cover by Introducing Loss Ratio of Laser Pulses Using Airborne LiDAR
48. An automatic optimization method of forest type classification using PolSAR image based on genetic algorithm
49. Recent Advances in the Characterization of Forests using SAR Tomography in Spaceborne Configurations
50. Land Use/Cover Classification and Forest Quantitative Information Extraction Based on Spaceborne SA
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