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ISPRS Journal of Photogrammetry and Remote Sensing Volume 179 September 2021

Clement Mallet - Nama Orang;

1. Target-based automated matching of multiple terrestrial laser scans for complex forest scenes p. 1-13
2. A deep translation (GAN) based change detection network for optical and SAR remote sensing images p. 14-34
3. Multi-task fully convolutional network for tree species mapping in dense forests using small training hyperspectral data p. 35-49
4. Urban scene understanding based on semantic and socioeconomic features: From high-resolution remote sensing imagery to multi-source geographic datasets p. 50-65
5. High-accuracy continuous mapping of surface water dynamics using automatic update of training samples and temporal consistency modification based on Google Earth Engine: A case study from Huizhou, China p. 66-80
6. Live fuel moisture content estimation from MODIS: A deep learning approach p. 81-91
7. Iterative near-infrared atmospheric correction scheme for global coastal waters p. 92-107
8. SUM: A benchmark dataset of Semantic Urban Meshes p. 108-120
9. Mapping salt marsh along coastal South Carolina using U-Net p. 121-132
10. Discriminating Xylella fastidiosa from Verticillium dahliae infections in olive trees using thermal- and hyperspectral-based plant traits p. 133-144
11. Robust deep alignment network with remote sensing knowledge graph for zero-shot and generalized zero-shot remote sensing image scene classification p. 145-158


Ketersediaan
M.4597-12-2021526.982Perpustakaan BIGTersedia namun tidak untuk dipinjamkan - Missing
Informasi Detail
Judul Seri
-
No. Panggil
526.982
Penerbit
Amsterdam : Elsevier., 2021
Deskripsi Fisik
158 hlm. iluus.; 28 cm
Bahasa
Inggris
ISBN/ISSN
0924-2716
Klasifikasi
526.982
Tipe Isi
text
Tipe Media
unspecified
Tipe Pembawa
unspecified
Edisi
Vol. 179 September 2021
Subjek
Penginderaan Jauh
Fotogrametri
Info Detail Spesifik
-
Pernyataan Tanggungjawab
Editor in Chief Clement Mallet
Versi lain/terkait

Tidak tersedia versi lain

Lampiran Berkas
  • Target-based automated matching of multiple terrestrial laser scans for complex forest scenes
  • A deep translation (GAN) based change detection network for optical and SAR remote sensing images
  • Multi-task fully convolutional network for tree species mapping in dense forests using small training hyperspectral data
  • Urban scene understanding based on semantic and socioeconomic features: From high-resolution remote sensing imagery to multi-source geographic datasets
  • High-accuracy continuous mapping of surface water dynamics using automatic update of training samples and temporal consistency modification based on Google Earth Engine: A case study from Huizhou, China
  • Live fuel moisture content estimation from MODIS: A deep learning approach
  • Iterative near-infrared atmospheric correction scheme for global coastal waters
  • SUM: A benchmark dataset of Semantic Urban Meshes
  • Mapping salt marsh along coastal South Carolina using U-Net
  • Discriminating Xylella fastidiosa from Verticillium dahliae infections in olive trees using thermal- and hyperspectral-based plant traits
  • Robust deep alignment network with remote sensing knowledge graph for zero-shot and generalized zero-shot remote sensing image scene classification
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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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