PERPUSTAKAAN BIG

1. A CNN approach to simultaneously count plants and detect plantation-rows from UAV imagery p. 1-17
2. Automated street tree inventory using mobile LiDAR point clouds based on Hough transform and active contours p. 19-34
3. A hybrid global structure from motion method for synchronously estimating global rotations and global translations p. 35-55
4. Using a fully polarimetric SAR to detect landslide in complex surroundings: Case study of 2015 Shenzhen landslide p. 56-67
5.Zanthoxylum bungeanum Maxim mapping with multi-temporal Sentinel-2 images: The importance of different features and consistency of results p. 68-86
6. A geographic information-driven method and a new large scale dataset for remote sensing cloud/snow detection p. 87-104
7. Depth-enhanced feature pyramid network for occlusion-aware verification of buildings from oblique images p. 105-116
8. Automatic atmospheric correction for shortwave hyperspectral remote sensing data using a time-dependent deep neural network p. 117-131
9. Open-air grape classification and its application in parcel-level risk assessment of late frost in the eastern Helan Mountains p. 132-150
10. A nested drone-satellite approach to monitoring the ecological conditions of wetlands p. 151-165
11. VPC-Net: Completion of 3D vehicles from MLS point clouds p. 166-181
12. A maximum bathymetric depth model to simulate satellite photon-counting lidar performance p. 182-197
13. Large-scale rice mapping under different years based on time-series Sentinel-1 images using deep semantic segmentation model p. 198-214
14. Atmospheric and sunglint correction for retrieving chlorophyll-a in a productive tropical estuarine-lagoon system using Sentinel-2 MSI imagery p. 215-236
15. Evaluation of Landsat-8 TIRS data recalibrations and land surface temperature split-window algorithms over a homogeneous crop area with different phenological land covers p. 237-253
16.Deep multisensor learning for missing-modality all-weather mapping p. 254-264
17. Field-scale crop yield prediction using multi-temporal WorldView-3 and PlanetScope satellite data and deep learning p. 265-281
18. Application of UAV-based orthomosaics for determination of horizontal displacement caused by underground mining p. 282-303

M.4592-12-2021

526.982

Perpustakaan BIG

Tersedia namun tidak untuk dipinjamkan - Missing

• A CNN approach to simultaneously count plants and detect plantation-rows from UAV imagery
• Automated street tree inventory using mobile LiDAR point clouds based on Hough transform and active contours
• A hybrid global structure from motion method for synchronously estimating global rotations and global translations
• Using a fully polarimetric SAR to detect landslide in complex surroundings: Case study of 2015 Shenzhen landslide
• Zanthoxylum bungeanum Maxim mapping with multi-temporal Sentinel-2 images: The importance of different features and consistency of results
• A geographic information-driven method and a new large scale dataset for remote sensing cloud/snow detection
• Depth-enhanced feature pyramid network for occlusion-aware verification of buildings from oblique images
• Automatic atmospheric correction for shortwave hyperspectral remote sensing data using a time-dependent deep neural network
• Open-air grape classification and its application in parcel-level risk assessment of late frost in the eastern Helan Mountains
• A nested drone-satellite approach to monitoring the ecological conditions of wetlands
• VPC-Net: Completion of 3D vehicles from MLS point clouds
• A maximum bathymetric depth model to simulate satellite photon-counting lidar performance
• Large-scale rice mapping under different years based on time-series Sentinel-1 images using deep semantic segmentation model
• Atmospheric and sunglint correction for retrieving chlorophyll-a in a productive tropical estuarine-lagoon system using Sentinel-2 MSI imagery
• Evaluation of Landsat-8 TIRS data recalibrations and land surface temperature split-window algorithms over a homogeneous crop area with different phenological land covers
• Deep multisensor learning for missing-modality all-weather mapping
• Field-scale crop yield prediction using multi-temporal WorldView-3 and PlanetScope satellite data and deep learning
• Application of UAV-based orthomosaics for determination of horizontal displacement caused by underground mining

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