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ISPRS Journal of Photogrammetry and Remote Sensig Volume 164 June 2020

1. Photogrammetric determination of 3D crack opening vectors from 3D displacement fields p. 1-10
2. National wetland mapping in China: A new product resulting from object-based and hierarchical classification of Landsat 8 OLI images p. 11-25
3. A geometry-attentional network for ALS point cloud classificationp. 26-40
4. Under-canopy UAV laser scanning for accurate forest field measurements p. 41-60
5. Unsupervised change detection between SAR images based on hypergraphs p. 61-72
6. Counting of grapevine berries in images via semantic segmentation using convolutional neural networks p. 73-83
7. A multi-plot assessment of vegetation structure using a micro-unmanned aerial system (UAS) in a semi-arid savanna environment p. 84-96
8. Large-scale point cloud contour extraction via 3D guided multi-conditional generative adversarial network p. 97-105
9. Improved optical image matching time series inversion approach for monitoring dune migration in North Sinai Sand Sea: Algorithm procedure, application, and validation p. 106-124
10. Deep spatio-spectral Bayesian posterior for hyperspectral image non-i.i.d. noise removal p. 125-137
11. Discriminant analysis for lodging severity classification in wheat using RADARSAT-2 and Sentinel-1 data p. 138-151
12. Google Earth Engine for geo-big data applications: A meta-analysis and systematic review
Haifa Tamiminia, Bahram Salehi, Masoud Mahdianpari, Lindi Quackenbush, ... Brian Brisco
p. 152-170
13. Development of post-fire vegetation response-ability model in grassland mountainous ecosystem using GIS and remote sensing p. 173-183
14. Correction of amplitude scintillation effect in fully polarimetric SAR coherency matrix data p. 184-199
15. Combining single photon and multispectral airborne laser scanning for land cover classification p. 200-216
16. Comparison of pixel unmixing models in the evaluation of post-fire forest resilience based on temporal series of satellite imagery at moderate and very high spatial resolution p. 217-228
17. Local climate zone mapping as remote sensing scene classification using deep learning: A case study of metropolitan China p. 229-242

Availability
M-4414-11-XII-2020526.982Perpustakaan BIGAvailable but not for loan - Missing
Detail Information
Series Title
-
Call Number
526.982
Publisher
Amsterdam : Elsevier.,
Collation
242 hlm. : illus. ; 28 cm.
Language
Inggris
ISBN/ISSN
0924-2716
Classification
526.982
Content Type
text
Media Type
other
Carrier Type
unspecified
Edition
Volume 164 June 2020
Subject(s)
Penginderaan Jauh
Fotogrametri
Specific Detail Info
-
Statement of Responsibility
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