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ISPRS Journal of Photogrammetry and Remote Sensing Vol. 170 December 2020

Derek Lichti - Nama Orang;

1. Automatic registration of a single SAR image and GIS building footprints in a large-scale urban area p. 1-14
2. Parsing very high resolution urban scene images by learning deep ConvNets with edge-aware loss p. 15-28
3. Robust 3D reconstruction of building surfaces from point clouds based on structural and closed constraints p. 29-44
4. Jointly optimizing global and local color consistency for multiple image mosaicking p. 45-56
5. Multistrategy ensemble regression for mapping of built-up density and height with Sentinel-2 data p. 57-71
6. Mapping of diffuse attenuation coefficient in optically complex waters of amazon floodplain lakes p. 72-87
7. Training CNNs on speckled optical dataset for edge detection in SAR images p. 88-102
8. SAR analysis of wetland ecosystems: Effects of band frequency, polarization mode and acquisition dates p. 103-113
9. An end-to-end shape modeling framework for vectorized building outline generation from aerial images p. 114-126
10. Urban 3D imaging using airborne TomoSAR: Contextual information-based approach in the statistical way p. 127-141
11. Monitoring the spatial distribution and changes in permafrost with passive microwave remote sensing p. 142-155
12. Characterizing spatiotemporal patterns of crop phenology across North America during 2000–2016 using satellite imagery and agricultural survey data p. 156-173
13. Understanding the synergies of deep learning and data fusion of multispectral and panchromatic high resolution commercial satellite imagery for automated ice-wedge polygon detection p. 174-191
14. Water clarity changes in 64 large alpine lakes on the Tibetan Plateau and the potential responses to lake expansion p. 192-204
15. Mapping forest tree species in high resolution UAV-based RGB-imagery by means of convolutional neural networks p. 205-215


Ketersediaan
M-4414-16-XII-2020526.982Perpustakaan BIGTersedia
Informasi Detail
Judul Seri
-
No. Panggil
526.982
Penerbit
Amsterdam : Elsevier., 2020
Deskripsi Fisik
215 hlm. : illus. ; 26 cm.
Bahasa
Inggris
ISBN/ISSN
0924-2716
Klasifikasi
526.982
Tipe Isi
text
Tipe Media
other
Tipe Pembawa
unspecified
Edisi
Volume 170 December 2020
Subjek
Fotogrametri
Info Detail Spesifik
-
Pernyataan Tanggungjawab
Editor in Chief Derek Lichti
Versi lain/terkait

Tidak tersedia versi lain

Lampiran Berkas
  • Automatic registration of a single SAR image and GIS building footprints in a large-scale urban area
  • Parsing very high resolution urban scene images by learning deep ConvNets with edge-aware loss
  • Robust 3D reconstruction of building surfaces from point clouds based on structural and closed constraints
  • Jointly optimizing global and local color consistency for multiple image mosaicking
  • Multistrategy ensemble regression for mapping of built-up density and height with Sentinel-2 data
  • Mapping of diffuse attenuation coefficient in optically complex waters of amazon floodplain lakes
  • Training CNNs on speckled optical dataset for edge detection in SAR images
  • SAR analysis of wetland ecosystems: Effects of band frequency, polarization mode and acquisition dates
  • An end-to-end shape modeling framework for vectorized building outline generation from aerial images
  • Urban 3D imaging using airborne TomoSAR: Contextual information-based approach in the statistical way
  • Monitoring the spatial distribution and changes in permafrost with passive microwave remote sensing
  • Characterizing spatiotemporal patterns of crop phenology across North America during 2000–2016 using satellite imagery and agricultural survey data
  • Understanding the synergies of deep learning and data fusion of multispectral and panchromatic high resolution commercial satellite imagery for automated ice-wedge polygon detection
  • Water clarity changes in 64 large alpine lakes on the Tibetan Plateau and the potential responses to lake expansion
  • Mapping forest tree species in high resolution UAV-based RGB-imagery by means of convolutional neural networks
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Perpustakaan Badan Informasi Geospasial (BIG) adalah sebuah perpustakaan yang berada di bawah Badan Informasi Geospasial Indonesia. Perpustakaan ini memiliki koleksi yang berkaitan dengan informasi geospasial, termasuk peta, data geospasial, dan literatur terkait. Selengkapnya

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