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ISPRS Journal of Photogrammetry and Remote Sensing Volume 180 October 2021

Clement Mallet - Nama Orang;

1. Combining data-and-model-driven 3D modelling (CDMD3DM) for small indoor scenes using RGB-D data p. 1-13
2. Phase unmixing of TerraSAR-X staring spotlight interferograms in building scale for PS height and deformation p. 14-28
3. Improving the accuracy of spring phenology detection by optimally smoothing satellite vegetation index time series based on local cloud frequency p. 29-44
4. Identification of mining induced ground fissures using UAV and infrared thermal imager: Temperature variation and fissure evolution p. 45-64
5. A downscaled bathymetric mapping approach combining multitemporal Landsat-8 and high spatial resolution imagery: Demonstrations from clear to turbid waters p. 65-81
6. Appearance based deep domain adaptation for the classification of aerial images p. 82-102
7. Optimal scan planning with enforced network connectivity for the acquisition of three-dimensional indoor models p. 103-116
8. Integrating spatio-temporal-spectral information for downscaling Sentinel-3 OLCI images p. 130-150
9. MMFF: Multi-manifold feature fusion based neural networks for target recognition in complex-valued SAR imagery p. 151-162
10. Exploring Sentinel-1 and Sentinel-2 diversity for flood inundation mapping using deep learning p. 163-173
11. A practical approach to reconstruct high-quality Landsat NDVI time-series data by gap filling and the Savitzky–Golay filter p. 174-190
12. RectMatch: A novel scan matching method using the rectangle-flattening representation for mobile LiDAR systems p. 191-208
13. Mapping dominant leaf type based on combined Sentinel-1/-2 data – Challenges for mountainous countries p. 209-226
14. Recurrent neural networks for atmospheric noise removal from InSAR time series with missing values p. 227-237
15. Global clear sky near-surface imagery from multiple satellite daily imagery time series p. 238-254
16. A two-stage approach for road marking extraction and modeling using MLS point clouds p. 255-268
17. Developing bare-earth digital elevation models from structure-from-motion data on barrier islands p. 269-282
18. Multi-scale adversarial network for vehicle detection in UAV imagery p. 283-295
19. Cross-domain road detection based on global-local adversarial learning framework from very high resolution satellite imagery p. 296-312
20. LidarCSNet: A Deep Convolutional Compressive Sensing Reconstruction Framework for 3D Airborne Lidar Point Cloud p. 313-334
21. Tightly-coupled camera/LiDAR integration for point cloud generation from GNSS/INS-assisted UAV mapping systems p. 336-356
22. Illumination-invariant road detection and tracking using LWIR polarization characteristics p. 257-369
23. Automated building characterization for seismic risk assessment using street-level imagery and deep learning p. 370-386


Ketersediaan
M.4598-12-2021526.982Perpustakaan BIGTersedia namun tidak untuk dipinjamkan - Missing
Informasi Detail
Judul Seri
-
No. Panggil
526.982
Penerbit
Amsterdam : Elsevier., 2021
Deskripsi Fisik
386 hlm. : illus.; 28 cm.
Bahasa
Inggris
ISBN/ISSN
0924-2716
Klasifikasi
526.982
Tipe Isi
text
Tipe Media
unspecified
Tipe Pembawa
unspecified
Edisi
Vol. 180 October 2021
Subjek
Penginderaan Jauh
Fotogrametri
Info Detail Spesifik
-
Pernyataan Tanggungjawab
Editor in Chief Clement Mallet
Versi lain/terkait

Tidak tersedia versi lain

Lampiran Berkas
  • Combining data-and-model-driven 3D modelling (CDMD3DM) for small indoor scenes using RGB-D data
  • Phase unmixing of TerraSAR-X staring spotlight interferograms in building scale for PS height and deformation
  • Improving the accuracy of spring phenology detection by optimally smoothing satellite vegetation index time series based on local cloud frequency
  • Identification of mining induced ground fissures using UAV and infrared thermal imager: Temperature variation and fissure evolution
  • A downscaled bathymetric mapping approach combining multitemporal Landsat-8 and high spatial resolution imagery: Demonstrations from clear to turbid waters
  • Appearance based deep domain adaptation for the classification of aerial images
  • Optimal scan planning with enforced network connectivity for the acquisition of three-dimensional indoor models
  • Integrating spatio-temporal-spectral information for downscaling Sentinel-3 OLCI images
  • MMFF: Multi-manifold feature fusion based neural networks for target recognition in complex-valued SAR imagery
  • Exploring Sentinel-1 and Sentinel-2 diversity for flood inundation mapping using deep learning
  • A practical approach to reconstruct high-quality Landsat NDVI time-series data by gap filling and the Savitzky–Golay filter
  • RectMatch: A novel scan matching method using the rectangle-flattening representation for mobile LiDAR systems
  • Mapping dominant leaf type based on combined Sentinel-1/-2 data – Challenges for mountainous countries
  • Recurrent neural networks for atmospheric noise removal from InSAR time series with missing values
  • Global clear sky near-surface imagery from multiple satellite daily imagery time series
  • A two-stage approach for road marking extraction and modeling using MLS point clouds
  • Developing bare-earth digital elevation models from structure-from-motion data on barrier islands
  • Multi-scale adversarial network for vehicle detection in UAV imagery
  • Cross-domain road detection based on global-local adversarial learning framework from very high resolution satellite imagery
  • LidarCSNet: A Deep Convolutional Compressive Sensing Reconstruction Framework for 3D Airborne Lidar Point Cloud
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