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ISPRS Journal of Photogrammetryand Remote Sensing Volume 168 October 2020

Derek Lichti - Nama Orang;

1. See the forest and the trees: Effective machine and deep learning algorithms for wood filtering and tree species classification from terrestrial laser scanning p. 1-16
2. Pruning multi-view stereo net for efficient 3D reconstruction p. 17-27
3. Influence of ULS acquisition characteristics on tree stem parameter estimation p.28-40
4. The impact of anthropogenic land use change on the protected areas of the Kilombero catchment, Tanzania p. 41-55
5. Exploring multiscale object-based convolutional neural network (multi-OCNN) for remote sensing image classification at high spatial resolution p. 56-73
6. A spatially explicit surface urban heat island database for the United States: Characterization, uncertainties, and possible applications p. 74-88
7. Machine learning-assisted region merging for remote sensing image segmentation p. 89-123
8. The feasibility of assessing swell-based bathymetry using SAR imagery from orbiting satellites p. 124-130
9. Improved estimates of monthly land surface temperature from MODIS using a diurnal temperature cycle (DTC) model p. 131-140
10. Monitoring surface water area variations of reservoirs using daily MODIS images by exploring sub-pixel information p. 141-152
11.Detecting and mapping tree seedlings in UAV imagery using convolutional neural networks and field-verified data p. 156-169
12. Tree species classification using structural features derived from terrestrial laser scanning p. 170-181
13. NDVI-Net: A fusion network for generating high-resolution normalized difference vegetation index in remote sensing 182-196
14. Remotely sensed canopy resistance model for analyzing the stomatal behavior of environmentally-stressed winter wheat p. 197-207
15. Mathematical morphology directly applied to point cloud data p. 208-220
16. Response of winter wheat to spring frost from a remote sensing perspective: Damage estimation and influential factors p. 221-235
17. Estimating crop biomass using leaf area index derived from Landsat 8 and Sentinel-2 data p. 236-250
18. The effect of the point spread function on downscaling continua p. 251-267
19. Comparing features of single and multi-photon lidar in boreal forests p. 268-276
20. Performance of terrestrial laser scanning to characterize managed Scots pine (Pinus sylvestris L.) stands is dependent on forest structural variation p. 277-287
21. BT-RoadNet: A boundary and topologically-aware neural network for road extraction from high-resolution remote sensing imagery p. 288-306


Ketersediaan
M-4414-15-1XII-2020526.982Perpustakaan BIGTersedia namun tidak untuk dipinjamkan - Missing
Informasi Detail
Judul Seri
-
No. Panggil
526.982
Penerbit
Amsterdam : Elsevier., 2020
Deskripsi Fisik
306 hlm. : illus. ; 28 cm.
Bahasa
Inggris
ISBN/ISSN
0924-2716
Klasifikasi
526.982
Tipe Isi
text
Tipe Media
other
Tipe Pembawa
unspecified
Edisi
Volume 168 October 2020
Subjek
Penginderaan Jauh
Fotogrametri
Info Detail Spesifik
-
Pernyataan Tanggungjawab
Editor in Chief Derek Lichti
Versi lain/terkait

Tidak tersedia versi lain

Lampiran Berkas
  • See the forest and the trees: Effective machine and deep learning algorithms for wood filtering and tree species classification from terrestrial laser scanning
  • Pruning multi-view stereo net for efficient 3D reconstruction
  • Influence of ULS acquisition characteristics on tree stem parameter estimation
  • The impact of anthropogenic land use change on the protected areas of the Kilombero catchment, Tanzania
  • Exploring multiscale object-based convolutional neural network (multi-OCNN) for remote sensing image classification at high spatial resolution
  • A spatially explicit surface urban heat island database for the United States: Characterization, uncertainties, and possible applications
  • Machine learning-assisted region merging for remote sensing image segmentation
  • The feasibility of assessing swell-based bathymetry using SAR imagery from orbiting satellites
  • Improved estimates of monthly land surface temperature from MODIS using a diurnal temperature cycle (DTC) model
  • Monitoring surface water area variations of reservoirs using daily MODIS images by exploring sub-pixel information
  • Detecting and mapping tree seedlings in UAV imagery using convolutional neural networks and field-verified data
  • Tree species classification using structural features derived from terrestrial laser scanning
  • NDVI-Net: A fusion network for generating high-resolution normalized difference vegetation index in remote sensing
  • Remotely sensed canopy resistance model for analyzing the stomatal behavior of environmentally-stressed winter wheat
  • Mathematical morphology directly applied to point cloud data
  • Response of winter wheat to spring frost from a remote sensing perspective: Damage estimation and influential factors
  • Estimating crop biomass using leaf area index derived from Landsat 8 and Sentinel-2 data
  • The effect of the point spread function on downscaling continua
  • Comparing features of single and multi-photon lidar in boreal forests
  • Performance of terrestrial laser scanning to characterize managed Scots pine (Pinus sylvestris L.) stands is dependent on forest structural variation
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