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ISPRS Journal of Photogrammetry and Remote Sensing Volume 181 November 2021

Clement Mallet - Personal Name;

1. Automated LoD-2 model reconstruction from very-high-resolution satellite-derived digital surface model and orthophoto p. 1-19
2. A deep learning algorithm to detect and classify sun glint from high-resolution aerial imagery over shallow marine environments p. 20-26
3. Pose estimation and 3D reconstruction of vehicles from stereo-images using a subcategory-aware shape prior p. 27-47
4. Hierarchical line segment matching for wide-baseline images via exploiting viewpoint robust local structure and geometric constraints p. 48-66
5. Simultaneous investigation of surface and canopy urban heat islands over global cities p. 67-83
6. ABCNet: Attentive bilateral contextual network for efficient semantic segmentation of Fine-Resolution remotely sensed imagery p. 84-98
7. AProNet: Detecting objects with precise orientation from aerial images p. 99-112
8. An unsupervised domain adaptation approach for change detection and its application to deforestation mapping in tropical biomes p. 113-128
9. Robust registration of aerial images and LiDAR data using spatial constraints and Gabor structural features p. 129-147
10. A novel cotton mapping index combining Sentinel-1 SAR and Sentinel-2 multispectral imagery p. 148-166
11. Infrared dim target detection via mode-k1k2 extension tensor tubal rank under complex ocean environment p. 167-190
12. IMGTR: Image-triangle based multi-view 3D reconstruction for urban scenes p. 191-204
13. A deep learning semantic template matching framework for remote sensing image registration p. 205-217
14. Simplified object-based deep neural network for very high resolution remote sensing image classification p. 218-237
15. Towards a novel approach for Sentinel-3 synergistic OLCI/SLSTR cloud and cloud shadow detection based on stereo cloud-top height estimation p. 238-253
16. Automatic voxel-based 3D indoor reconstruction and room partitioning from triangle meshes p. 254-278
17. National-scale greenhouse mapping for high spatial resolution remote sensing imagery using a dense object dual-task deep learning framework: A case study of China p. 279-294
18. A comparison between TLS and UAS LiDAR to represent eucalypt crown fuel characteristics p. 295-307
19. Hybrid phenology matching model for robust crop phenological retrieval p. 308-326
20. Simultaneous identification, modeling and registration refinement of poles using laser scanning point clouds p. 327-344
21. Local climate zone classification using a multi-scale, multi-level attention network p. 345-366
22. Robust hierarchical structure from motion for large-scale unstructured image sets p. 367-384
23. Efficient measurement of large-scale decadal shoreline change with increased accuracy in tide-dominated coastal environments with Google Earth Engine p. 385-399
24. Combining multi-spectral and thermal remote sensing to predict forest fire characteristics p. 400-412
25. Simple loop closing for continuous 6DOF LIDAR&IMU graph SLAM with planar features for indoor environments p. 413-426


Availability
M.4599-12-2021526.982Perpustakaan BIGAvailable but not for loan - Missing
Detail Information
Series Title
-
Call Number
526.982
Publisher
Amsterdam : Elsevier., 2021
Collation
426 hlm.: illus.; 28 cm.
Language
Inggris
ISBN/ISSN
0924-2716
Classification
526.982
Content Type
text
Media Type
unspecified
Carrier Type
unspecified
Edition
Vol. 181 November 2021
Subject(s)
Penginderaan Jauh
Fotogrametri
Specific Detail Info
-
Statement of Responsibility
Editor in Chief Clement Mallet
Other version/related

No other version available

File Attachment
  • Automated LoD-2 model reconstruction from very-high-resolution satellite-derived digital surface model and orthophoto
  • A deep learning algorithm to detect and classify sun glint from high-resolution aerial imagery over shallow marine environments
  • Pose estimation and 3D reconstruction of vehicles from stereo-images using a subcategory-aware shape prior
  • Hierarchical line segment matching for wide-baseline images via exploiting viewpoint robust local structure and geometric constraints
  • Simultaneous investigation of surface and canopy urban heat islands over global cities
  • ABCNet: Attentive bilateral contextual network for efficient semantic segmentation of Fine-Resolution remotely sensed imagery
  • AProNet: Detecting objects with precise orientation from aerial images
  • An unsupervised domain adaptation approach for change detection and its application to deforestation mapping in tropical biomes
  • Robust registration of aerial images and LiDAR data using spatial constraints and Gabor structural features
  • A novel cotton mapping index combining Sentinel-1 SAR and Sentinel-2 multispectral imagery
  • Infrared dim target detection via mode-k1k2 extension tensor tubal rank under complex ocean environment
  • IMGTR: Image-triangle based multi-view 3D reconstruction for urban scenes
  • A deep learning semantic template matching framework for remote sensing image registration
  • Simplified object-based deep neural network for very high resolution remote sensing image classification
  • Towards a novel approach for Sentinel-3 synergistic OLCI/SLSTR cloud and cloud shadow detection based on stereo cloud-top height estimation
  • Automatic voxel-based 3D indoor reconstruction and room partitioning from triangle meshes
  • National-scale greenhouse mapping for high spatial resolution remote sensing imagery using a dense object dual-task deep learning framework: A case study of China
  • A comparison between TLS and UAS LiDAR to represent eucalypt crown fuel characteristics
  • Hybrid phenology matching model for robust crop phenological retrieval
  • Simultaneous identification, modeling and registration refinement of poles using laser scanning point clouds
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