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ISPRS Journal of Photogrammetry and Remote Sensing Volume 182 December 2021

Clement Mallet - Nama Orang;

1. Analyzing multi–domain learning for enhanced rockfall mapping in known and unknown planetary domains p. 1-13
2. Progressive split-merge super resolution for hyperspectral imagery with group attention and gradient guidance p. 14-36
3. ResDLPS-Net: Joint residual-dense optimization for large-scale point cloud semantic segmentation p. 37-51
4. A hierarchical self-attention augmented Laplacian pyramid expanding network for change detection in high-resolution remote sensing images p. 52-66
5. Densely connected graph convolutional network for joint semantic and instance segmentation of indoor point clouds p. 67-77
6. An optimized approach for generating dense thermal point clouds from UAV-imagery p. 78-95
7. Panoramic Visual-Inertial SLAM Tightly Coupled with a Wheel Encoder p. 96-111
8. Digital taxonomist: Identifying plant species in community scientists’ photographs p. 112-121
9. Automatic large scale detection of red palm weevil infestation using street view images p. 122-133
10. Water clarity in Brazilian water assessed using Sentinel-2 and machine learning methods p. 134-152
11. A repeatable change detection approach to map extreme storm-related damages caused by intense surface runoff based on optical and SAR remote sensing: Evidence from three case studies in the South of France p. 153-175
12. Feature matching for multi-epoch historical aerial images p. 176-189
13. Balance learning for ship detection from synthetic aperture radar remote sensing imagery p. 190-207
14. Influence of solar incidence angle on single-image photoclinometry for precision lunar topographic mapping p. 208-227
15. Towards the empirical determination of correlations in terrestrial laser scanner range observations and the comparison of the correlation structure of different scanners p. 228-241


Ketersediaan
M.4599-A/XII/2021526.982Perpustakaan BIGTersedia namun tidak untuk dipinjamkan - Missing
Informasi Detail
Judul Seri
-
No. Panggil
526.982
Penerbit
Amsterdam : Elsevier., 2021
Deskripsi Fisik
241 hlm.: iluss.; 28 cm.
Bahasa
Inggris
ISBN/ISSN
0924-2716
Klasifikasi
526.982
Tipe Isi
text
Tipe Media
unspecified
Tipe Pembawa
unspecified
Edisi
Vol. 182 December 2021
Subjek
Penginderaan Jauh
Fotogrametri
Info Detail Spesifik
-
Pernyataan Tanggungjawab
Editor in Chief Clement Mallet
Versi lain/terkait

Tidak tersedia versi lain

Lampiran Berkas
  • Analyzing multi–domain learning for enhanced rockfall mapping in known and unknown planetary domains
  • Progressive split-merge super resolution for hyperspectral imagery with group attention and gradient guidance
  • ResDLPS-Net: Joint residual-dense optimization for large-scale point cloud semantic segmentation
  • A hierarchical self-attention augmented Laplacian pyramid expanding network for change detection in high-resolution remote sensing images
  • Densely connected graph convolutional network for joint semantic and instance segmentation of indoor point clouds
  • An optimized approach for generating dense thermal point clouds from UAV-imagery
  • Panoramic Visual-Inertial SLAM Tightly Coupled with a Wheel Encoder
  • Digital taxonomist: Identifying plant species in community scientists’ photographs
  • Automatic large scale detection of red palm weevil infestation using street view images
  • Water clarity in Brazilian water assessed using Sentinel-2 and machine learning methods
  • A repeatable change detection approach to map extreme storm-related damages caused by intense surface runoff based on optical and SAR remote sensing: Evidence from three case studies in the South of France
  • Feature matching for multi-epoch historical aerial images
  • Balance learning for ship detection from synthetic aperture radar remote sensing imagery
  • Influence of solar incidence angle on single-image photoclinometry for precision lunar topographic mapping
  • Towards the empirical determination of correlations in terrestrial laser scanner range observations and the comparison of the correlation structure of different scanners
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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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