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ISPRS Journal of Photogrammetry and Remote Sensing Volume 166, August 2020

Derek Lichti - Nama Orang;

1. HyNet: Hyper-scale object detection network framework for multiple spatial resolution remote sensing imagery p. 1-14
2. Near-real time forecasting and change detection for an open ecosystem with complex natural dynamics p. 15-25
3. Leveraging photogrammetric mesh models for aerial-ground feature point matching toward integrated 3D reconstruction p. 26-40
4. Exploration of OpenStreetMap missing built-up areas using twitter hierarchical clustering and deep learning in Mozambique p. 41-51
5. Photometric multi-view mesh refinement for high-resolution satellite images p. 52-62
6. Deep Gaussian processes for biogeophysical parameter retrieval and model inversion p. 68-81
7. A marker-free method for registering multi-scan terrestrial laser scanning data in forest environments p. 82-94
8. Development and application of a new mangrove vegetation index (MVI) for rapid and accurate mangrove mapping p. 95-117
9. A multiclass TrAdaBoost transfer learning algorithm for the classification of mobile lidar data p. 118-127
10. DANCE-NET: Density-aware convolution networks with context encoding for airborne LiDAR point cloud classification p. 128-139
11. Structure from motion for complex image sets p. 140-152
12. Towards a semi-automated mapping of Australia native invasive alien Acacia trees using Sentinel-2 and radiative transfer models in South Africa p. 153-168
13. Deep learning networks for selection of measurement pixels in multi-temporal SAR interferometric processing p. 169-182
14. A deeply supervised image fusion network for change detection in high resolution bi-temporal remote sensing images p. 183-200
15. Detecting abandoned farmland using harmonic analysis and machine learning p. 201-212
16.A generalized multi-task learning approach to stereo DSM filtering in urban areas p. 213-227
17. Machine learning techniques for regional scale estimation of high-resolution cloud-free daily sea surface temperatures from MODIS data p. 228-240
18. Land-cover classification of multispectral LiDAR data using CNN with optimized hyper-parameters p. 241-254
19. MiniNet: An extremely lightweight convolutional neural network for real-time unsupervised monocular depth estimation p. 255-267
20. Fully automatic smartphone-based photogrammetric 3D modelling of infant’s heads for cranial deformation analysis p. 268-277
21. Identifying floods and flood-affected paddy rice fields in Bangladesh based on Sentinel-1 imagery and Google Earth Engine p. 278-293
22. A flexible targetless LiDAR–GNSS/INS–camera calibration method for UAV platforms p. 294-307
23. PoseGAN: A pose-to-image translation framework for camera localization p. 308-315
24. SLAM integrated mobile mapping system in complex urban environments p. 316-332
25. Cloud removal in Sentinel-2 imagery using a deep residual neural network and SAR-optical data fusion p. 333-346
26. 3D Pedestrian tracking using local structure constraints p. 347-358
27. Texture-aware total variation-based removal of sun glint in hyperspectral images p. 359-372
28. Thin cloud removal in optical remote sensing images based on generative adversarial networks and physical model of cloud distortion p. 373-389


Ketersediaan
M-4414-13-XII-2020526.982Perpustakaan BIGTersedia namun tidak untuk dipinjamkan - Missing
Informasi Detail
Judul Seri
-
No. Panggil
526.982
Penerbit
Amsterdam : Elsevier., 2020
Deskripsi Fisik
402 hlm. : illus. ; 28 cm.
Bahasa
Inggris
ISBN/ISSN
0924-2716
Klasifikasi
526.982
Tipe Isi
text
Tipe Media
other
Tipe Pembawa
unspecified
Edisi
Volume 166 August 2020
Subjek
Penginderaan Jauh
Fotogrametri
Info Detail Spesifik
-
Pernyataan Tanggungjawab
Editor in Chief Derek Lichti
Versi lain/terkait

Tidak tersedia versi lain

Lampiran Berkas
  • HyNet: Hyper-scale object detection network framework for multiple spatial resolution remote sensing imagery
  • Near-real time forecasting and change detection for an open ecosystem with complex natural dynamics
  • Leveraging photogrammetric mesh models for aerial-ground feature point matching toward integrated 3D reconstruction
  • Exploration of OpenStreetMap missing built-up areas using twitter hierarchical clustering and deep learning in Mozambique
  • Photometric multi-view mesh refinement for high-resolution satellite images
  • Deep Gaussian processes for biogeophysical parameter retrieval and model inversion
  • A marker-free method for registering multi-scan terrestrial laser scanning data in forest environments
  • Development and application of a new mangrove vegetation index (MVI) for rapid and accurate mangrove mapping
  • A multiclass TrAdaBoost transfer learning algorithm for the classification of mobile lidar data
  • DANCE-NET: Density-aware convolution networks with context encoding for airborne LiDAR point cloud classification
  • Structure from motion for complex image sets
  • Towards a semi-automated mapping of Australia native invasive alien Acacia trees using Sentinel-2 and radiative transfer models in South Africa
  • Deep learning networks for selection of measurement pixels in multi-temporal SAR interferometric processing
  • A deeply supervised image fusion network for change detection in high resolution bi-temporal remote sensing images
  • Detecting abandoned farmland using harmonic analysis and machine learning
  • A generalized multi-task learning approach to stereo DSM filtering in urban areas
  • Machine learning techniques for regional scale estimation of high-resolution cloud-free daily sea surface temperatures from MODIS data
  • Land-cover classification of multispectral LiDAR data using CNN with optimized hyper-parameters
  • MiniNet: An extremely lightweight convolutional neural network for real-time unsupervised monocular depth estimation
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