ISPRS Journal of Photogrammetry and Remote Sensing Volume 159 January 2020

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1. Wide-area invasive species propagation mapping is possible using phenometric trends p. 1-12
2. Automatic scale estimation of structure from motion based 3D models using laser scalers in underwater scenarios p. 13-25
3. Comparison of multi-seasonal Landsat 8, Sentinel-2 and hyperspectral images for mapping forest alliances in Northern California p 26-40
4. Investigating the resolution capability of terrestrial laser scanners and its impact on the effective number of measurements p. 41-52
5. A local thresholding approach to flood water delineation using Sentinel-1 SAR imagery p. 53-62
6. A systematic evaluation of influence of image selection process on remote sensing-based burn severity indices in North American boreal forest and tundra ecosystems p. 63-77
7. Significant effects of ecological context on urban trees’ cooling efficiency p. 78-89
8. A Frustum-based probabilistic framework for 3D object detection by fusion of LiDAR and camera data p. 90-100
9. A robust visible near-infrared index for fire severity mapping in Arctic tundra ecosystems p. 101-113
10. Vehicle global 6-DoF pose estimation under traffic surveillance camera p. 114-128
11. Estimation of soil surface water contents for intertidal mudflats using a near-infrared long-range terrestrial laser scanner p. 129-139
12. Superpixel-enhanced deep neural forest for remote sensing image semantic segmentation p. 140-152
13. An integrated photogrammetric and photoclinometric approach for illumination-invariant pixel-resolution 3D mapping of the lunar surface p. 153-168
14. Panoramic SLAM from a multiple fisheye camera rig p. 169-183
15. Building segmentation through a gated graph convolutional neural network with deep structured feature embedding p. 184-197
16. A UAV-based panoramic oblique photogrammetry (POP) approach using spherical projection p. 198-219
17. Evaluation of the LSA-SAF gross primary production product derived from SEVIRI/MSG data (MGPP) p. 220-236
18. Camera orientation, calibration and inverse perspective with uncertainties: A Bayesian method applied to area estimation from diverse photographs p. 237-255
19. Mapping large-area tidal flats without the dependence on tidal elevations: A case study of Southern China p. 256-270
20. Comparing partial least squares (PLS) discriminant analysis and sparse PLS discriminant analysis in detecting and mapping Solanum mauritianum in commercial forest plantations using image texture p. 271-280
21. Investigation of wildfire impacts on land surface phenology from MODIS time series in the western US forests p. 281-295
22. Object detection in optical remote sensing images: A survey and a new benchmark p. 296-307
23. Object-specific optimization of hierarchical multiscale segmentations for high-spatial resolution remote sensing images p. 308-321
24. Extraction of urban building damage using spectral, height and corner information from VHR satellite images and airborne LiDAR data p. 322-336
25. Annual large-scale urban land mapping based on Landsat time series in Google Earth Engine and OpenStreetMap data: A case study in the middle Yangtze River basin p. 337-351
26. 4D objects-by-change: Spatiotemporal segmentation of geomorphic surface change from LiDAR time series p. 352-363
27. Remote sensing algorithms for estimation of fractional vegetation cover using pure vegetation index values: A review p. 364-377
M-4416-6/XII/2020526.982Perpustakaan BIGTersedia
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Judul Seri


No. Panggil



Elsevier : Amsterdam.,

Deskripsi Fisik

377 hlm. : illus. ; 28 cm.







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Volume 159 january 2020

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