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ISPRS Journal of Photogrammetry and Remote Sensing Volume 176 June 2021

Clement Maller - Personal Name;

1. Self-supervised monocular depth estimation from oblique UAV videos p. 1-14
2. Classifying rock slope materials in photogrammetric point clouds using robust color and geometric features p. 15-29
3. Radiative transfer modeling to measure fire impact and forest engineering resilience at short-term p. 30-41
4. Learning deep cross-scale feature propagation for indoor semantic segmentation p. 42-53
5. Juggling with representations: On the information transfer between imagery, point clouds, and meshes for multi-modal semantics p. 55-68
6. A two-step mapping of irrigated corn with multi-temporal MODIS and Landsat analysis ready data p. 69-82
7. Robust detection of non-overlapping ellipses from points with applications to circular target extraction in images and cylinder detection in point clouds p. 83-108
8. Meta-classification of remote sensing reflectance to estimate trophic status of inland and nearshore waters 109-126
9. Self-calibration dense bundle adjustment of multi-view Worldview-3 basic images p. 127-138
10. Video object detection with a convolutional regression tracker p. 139-150
11. Local and global encoder network for semantic segmentation of Airborne laser scanning point clouds p. 151-168
12. Symmetrical lattice generative adversarial network for remote sensing images compression p. 169-181
13. Statistical estimation of next-day nighttime surface urban heat islands p. 182-195
14. Satellite-based data fusion crop type classification and mapping in Rio Grande do Sul, Brazil p. 196-210
15. Adversarial unsupervised domain adaptation for 3D semantic segmentation with multi-modal learning p. 211-221
16. Spatio-temporal linking of multiple SAR satellite data from medium and high resolution Radarsat-2 images p. 222-236
17. FPS-Net: A convolutional fusion network for large-scale LiDAR point cloud segmentation p. 237-249
18. Mapping fine-scale human disturbances in a working landscape with Landsat time series on Google Earth Engine p. 250-261
19. Weakly supervised instance attention for multisource fine-grained object recognition with an application to tree species classification p. 262-274


Availability
M. 4594-12-2021526.982Perpustakaan BIGAvailable but not for loan - Missing
Detail Information
Series Title
-
Call Number
526.982
Publisher
Amsterdam : Elsever., 2021
Collation
274 hlm.: illus.; 28 cm.
Language
Inggris
ISBN/ISSN
0924-2716
Classification
526.982
Content Type
text
Media Type
unspecified
Carrier Type
unspecified
Edition
Vol. 176 June 2021
Subject(s)
Penginderaan Jauh
Fotogrametri
Specific Detail Info
-
Statement of Responsibility
Editor in Chief Clement Maller
Other version/related

No other version available

File Attachment
  • Self-supervised monocular depth estimation from oblique UAV videos
  • Classifying rock slope materials in photogrammetric point clouds using robust color and geometric features
  • Radiative transfer modeling to measure fire impact and forest engineering resilience at short-term
  • Learning deep cross-scale feature propagation for indoor semantic segmentation
  • Juggling with representations: On the information transfer between imagery, point clouds, and meshes for multi-modal semantics
  • A two-step mapping of irrigated corn with multi-temporal MODIS and Landsat analysis ready data
  • Robust detection of non-overlapping ellipses from points with applications to circular target extraction in images and cylinder detection in point clouds
  • Meta-classification of remote sensing reflectance to estimate trophic status of inland and nearshore waters
  • Self-calibration dense bundle adjustment of multi-view Worldview-3 basic images
  • Video object detection with a convolutional regression tracker
  • Local and global encoder network for semantic segmentation of Airborne laser scanning point clouds
  • Symmetrical lattice generative adversarial network for remote sensing images compression
  • Statistical estimation of next-day nighttime surface urban heat islands
  • Satellite-based data fusion crop type classification and mapping in Rio Grande do Sul, Brazil
  • Adversarial unsupervised domain adaptation for 3D semantic segmentation with multi-modal learning
  • Spatio-temporal linking of multiple SAR satellite data from medium and high resolution Radarsat-2 images
  • FPS-Net: A convolutional fusion network for large-scale LiDAR point cloud segmentation
  • Mapping fine-scale human disturbances in a working landscape with Landsat time series on Google Earth Engine
  • Weakly supervised instance attention for multisource fine-grained object recognition with an application to tree species classification
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