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Deep learning-based fusion of Landsat-8 and Sentinel-2 images for a harmonized surface reflectance product

  • Published:2019-12 Issue: Volume:235 Page:111425
  • ISSN:0034-4257
  • Container-title:Remote Sensing of Environment
  • language:en
  • Short-container-title:Remote Sensing of Environment

Author:

Shao Zhenfeng,Cai Jiajun,Fu Peng,Hu Leiqiu,Liu Tao

Funder

National Key Research and Development Plan of China

National Natural Science Foundation of China

Natural Science Fund of Hubei Province in China

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geology,Soil Science

Reference53 articles.

1. The assessment of multi-sensor image fusion using wavelet transforms for mapping the Brazilian Savanna;Acerbi-Junior;Int. J. Appl. Earth Obs. Geoinf.,2006

2. Comparison of pansharpening algorithms: outcome of the 2006 GRS-S data fusion contest;Alparone;IEEE Trans. Geosci. Remote Sens.,2007

3. Beyond RGB: very high resolution urban remote sensing with multimodal deep networks;Audebert;ISPRS J. Photogrammetry Remote Sens.,2018

4. Harmonized Landsat-8 Sentinel-2 (HLS) Product User's Guide;Claverie,2017

5. The Harmonized Landsat and Sentinel-2 surface reflectance data set;Claverie;Remote Sens. Environ.,2018

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