Text
ISPRS Journal of Photogrammetry and Remote Sensing Volume 173 March 2021
1. Damage detection using SAR coherence statistical analysis, application to Beirut, Lebanon p. 1-9
2. Characterizing urban land changes of 30 global megacities using nighttime light time series stacks p. 10-23
3. Review on Convolutional Neural Networks (CNN) in vegetation remote sensing p. 24-49
4. PBNet: Part-based convolutional neural network for complex composite object detection in remote sensing imagery p. 50-65
5. Enhanced trajectory estimation of mobile laser scanners using aerial image p. 66-78
6. Robust unsupervised small area change detection from SAR imagery using deep learning p. 79-94
7. Growing status observation for oil palm trees using Unmanned Aerial Vehicle (UAV) images p. 95-121
8. Mapping coastal salt marshes in China using time series of Sentinel-1 SAR p. 122-134
9. Feature-preserving 3D mesh simplification for urban buildings p. 135-150
10. Automated digital elevation model (DEM) generation from very-high-resolution Planet SkySat triplet stereo and video imagery p. 151-165
11.Sentinel-2 and WorldView-3 atmospheric correction and signal normalization based on ground-truth spectroradiometric measurement p.166-180
12.Airborne LiDAR point cloud classification with global-local graph attention convolution neural network p.181-194
13. Monitoring spatiotemporal variation in beach surface moisture using a long-range terrestrial laser scanner p. 195-208
14. Efficient global color correction for large-scale multiple-view images in three-dimensional reconstruction p. 209-220
15. UAV-Thermal imaging and agglomerative hierarchical clustering techniques to evaluate and rank physiological performance of wheat genotypes on sodic soil p. 221-237
16. Semantics-guided reconstruction of indoor navigation elements from 3D colorized points p. 238-261
17. Phenology estimation of subtropical bamboo forests based on assimilated MODIS LAI time series data p. 262-277
18. Efficient RTM-based training of machine learning regression algorithms to quantify biophysical & biochemical traits of agricultural crops p. 278-296
19. Fully automatic spatiotemporal segmentation of 3D LiDAR time series for the extraction of natural surface changes p. 297-308
20. Remote sensing image segmentation advances: A meta-analysis p.309-322
21.M2H-Net: A Reconstruction Method For Hyperspectral Remotely Sensed Imagery p. 323-348
M.4591-12-2021 | 526.982 | Perpustakaan BIG | Tersedia namun tidak untuk dipinjamkan - Missing |
Tidak tersedia versi lain