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ISPRS Journal of Photogrammetry and Remote Sensing Volume 163 May 2020

Derek Lichti - Nama Orang;

1. A label-noise robust active learning sample collection method for multi-temporal urban land-cover classification and change analysisp. 1-17
2. Robust normal vector estimation in 3D point clouds through iterative principal component analysis p. 18-35
3. Region level SAR image classification using deep features and spatial constraints p. 36-48
4. Filtering of airborne LiDAR bathymetry based on bidirectional cloth simulation p. 49-61
5. Deep point embedding for urban classification using ALS point clouds: A new perspective from local to global p. 62-81
6. Deep learning-based remote and social sensing data fusion for urban region function recognition p. 82-97
7. Intertidal topography mapping using the waterline method from Sentinel-1 & -2 images: The examples of Arcachon and Veys Bays in France p. 98-120
8. Analyzing spatial variability in night-time lights using a high spatial resolution color Jilin-1 image – Jerusalem as a case study p. 121-136
9. A method to improve the accuracy of SAR image change detection by using an image enhancement method 137-151
10. A framework for large-scale mapping of human settlement extent from Sentinel-2 images via fully convolutional neural networks p. 152-170
11. Modeling strawberry biomass and leaf area using object-based analysis of high-resolution images p. 171-186
12. Remote sensing of chlorophyll a concentration in turbid coastal waters based on a global optical water classification system p. 187-201
13. Global multi-scale grid integer coding and spatial indexing: A novel approach for big earth observation data p. 202-213
14. SLAM-aided forest plot mapping combining terrestrial and mobile laser scanning p.214-230
15. Evaluation of Sentinel-1 & 2 time series for predicting wheat and rapeseed phenological stages p. 231-256
16. A differential information residual convolutional neural network for pansharpening p. 257-271
17. Fractional evergreen forest cover mapping by MODIS time-series FEVC-CV methods at sub-pixel scales p. 172-283
18. Inlier extraction for point cloud registration via supervoxel guidance and game theory optimization p. 284-299
19. SVLA: A compact supervoxel segmentation method based on local allocation p. 300-311
20. Mapping coastal wetlands of China using time series Landsat images in 2018 and Google Earth Engine p. 312-326
21. Registration of large-scale terrestrial laser scanner point clouds: A review and benchmark p. 327-342
22. Automated and efficient powerline extraction from laser scanning data using a voxel-based subsampling with hierarchical approach p. 343-361
23. Potential of hyperspectral data and machine learning algorithms to estimate the forage carbon-nitrogen ratio in an alpine grassland ecosystem of the Tibetan Plateau p. 362-374
24. Interactive dense point clouds in a game engine p. 375-389


Ketersediaan
M-4414-10-XII-2020526.982Perpustakaan BIGTersedia namun tidak untuk dipinjamkan - Missing
Informasi Detail
Judul Seri
-
No. Panggil
526.982
Penerbit
Amsterdam : Elsever., 2020
Deskripsi Fisik
389 hlm. : illus. ; 28 cm,
Bahasa
Inggris
ISBN/ISSN
0924-2716
Klasifikasi
526.982
Tipe Isi
text
Tipe Media
other
Tipe Pembawa
unspecified
Edisi
Volume 163 May 2020
Subjek
Penginderaan Jauh
Fotogrametri
Info Detail Spesifik
-
Pernyataan Tanggungjawab
Editor in Chief Derek Lichti
Versi lain/terkait

Tidak tersedia versi lain

Lampiran Berkas
  • A label-noise robust active learning sample collection method for multi-temporal urban land-cover classification and change analysis
  • Robust normal vector estimation in 3D point clouds through iterative principal component analysis
  • Region level SAR image classification using deep features and spatial constraints
  • Filtering of airborne LiDAR bathymetry based on bidirectional cloth simulation
  • Deep point embedding for urban classification using ALS point clouds: A new perspective from local to global
  • Intertidal topography mapping using the waterline method from Sentinel-1 & -2 images: The examples of Arcachon and Veys Bays in France
  • Analyzing spatial variability in night-time lights using a high spatial resolution color Jilin-1 image – Jerusalem as a case study
  • A method to improve the accuracy of SAR image change detection by using an image enhancement method
  • A framework for large-scale mapping of human settlement extent from Sentinel-2 images via fully convolutional neural networks
  • Modeling strawberry biomass and leaf area using object-based analysis of high-resolution images
  • Remote sensing of chlorophyll a concentration in turbid coastal waters based on a global optical water classification system
  • Global multi-scale grid integer coding and spatial indexing: A novel approach for big earth observation data
  • SLAM-aided forest plot mapping combining terrestrial and mobile laser scanning
  • Evaluation of Sentinel-1 & 2 time series for predicting wheat and rapeseed phenological stages
  • A differential information residual convolutional neural network for pansharpening
  • Fractional evergreen forest cover mapping by MODIS time-series FEVC-CV methods at sub-pixel scales
  • Inlier extraction for point cloud registration via supervoxel guidance and game theory optimization
  • SVLA: A compact supervoxel segmentation method based on local allocation
  • Mapping coastal wetlands of China using time series Landsat images in 2018 and Google Earth Engine
  • Registration of large-scale terrestrial laser scanner point clouds: A review and benchmark
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