PERPUSTAKAAN BIG

1. Heuristic sample learning for complex urban scenes: Application to urban functional-zone mapping with VHR images and POI data p. 1-12
2. 3D map-guided single indoor image localization refinement p. 13-26
3. The migration of training samples towards dynamic global land cover mapping p. 27-36
4. Development and evaluation of a new algorithm for detecting 30 m land surface phenology from VIIRS and HLS time series p. 37-51
5. All-sky longwave downward radiation from satellite measurements: General parameterizations based on LST, column water vapor and cloud top temperature p. 52-60
6. Efficient match pair selection for oblique UAV images based on adaptive vocabulary tree p. 61-75
7. Thermal unmixing based downscaling for fine resolution diurnal land surface temperature analysis p. 76-89
8. A residual convolutional neural network for polarimetric SAR image super-resolution p. 90-108
9. Examining earliest identifiable timing of crops using all available Sentinel 1/2 imagery and Google Earth Engine p. 109-123
10. Noise-robust transparent visualization of large-scale point clouds acquired by laser scanning p. 124-134
11. Extraction of sub-pixel C3/C4 emissions of solar-induced chlorophyll fluorescence (SIF) using artificial neural network p. 135-146
12. Learning sequential slice representation with an attention-embedding network for 3D shape recognition and retrieval in MLS point clouds p. 147-163
13. Collaborative learning of lightweight convolutional neural network and deep clustering for hyperspectral image semi-supervised classification with limited training samples p. 164-178
14. Deep SAR-Net: Learning objects from signals p. 179-193
15. An application-driven LOD modeling paradigm for 3D building models p. 194-207
16. Fast regularity-constrained plane fitting p. 208-217
17. Object-based incremental registration of terrestrial point clouds in an urban environment p. 218-232
18. A blended census and multiscale remote sensing approach to probabilistic cropland mapping in complex landscapes p. 233-245
19. Accurate derivation of stem curve and volume using backpack mobile laser scanning p. 246-262
20. Global and local patterns of landscape change accuracy p. 264-277
21. An improved change detection approach using tri-temporal logic-verified change vector analysis p. 278-293
22. Rotation-aware and multi-scale convolutional neural network for object detection in remote sensing images p. 294-308
23. Aerial image semantic segmentation using DCNN predicted distance maps p. 309-322

M-4414-8-XII/2020

526.982

Perpustakaan BIG

Tersedia namun tidak untuk dipinjamkan - Missing

• Heuristic sample learning for complex urban scenes: Application to urban functional-zone mapping with VHR images and POI data
• 3D map-guided single indoor image localization refinement
• The migration of training samples towards dynamic global land cover mapping
• Development and evaluation of a new algorithm for detecting 30 m land surface phenology from VIIRS and HLS time series
• All-sky longwave downward radiation from satellite measurements: General parameterizations based on LST, column water vapor and cloud top temperature
• Efficient match pair selection for oblique UAV images based on adaptive vocabulary tree
• Thermal unmixing based downscaling for fine resolution diurnal land surface temperature analysis
• A residual convolutional neural network for polarimetric SAR image super-resolution
• Examining earliest identifiable timing of crops using all available Sentinel 1/2 imagery and Google Earth Engine
• Noise-robust transparent visualization of large-scale point clouds acquired by laser scanning
• Extraction of sub-pixel C3/C4 emissions of solar-induced chlorophyll fluorescence (SIF) using artificial neural network
• Learning sequential slice representation with an attention-embedding network for 3D shape recognition and retrieval in MLS point clouds
• Collaborative learning of lightweight convolutional neural network and deep clustering for hyperspectral image semi-supervised classification with limited training samples
• Deep SAR-Net: Learning objects from signals
• An application-driven LOD modeling paradigm for 3D building models
• Fast regularity-constrained plane fitting
• Object-based incremental registration of terrestrial point clouds in an urban environment
• A blended census and multiscale remote sensing approach to probabilistic cropland mapping in complex landscapes
• Accurate derivation of stem curve and volume using backpack mobile laser scanning
• Global and local patterns of landscape change accuracy

Share :