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A hybrid deep convolutional neural network for accurate land cover classification

  • Published:2021-12 Issue: Volume:103 Page:102515
  • ISSN:0303-2434
  • Container-title:International Journal of Applied Earth Observation and Geoinformation
  • language:en
  • Short-container-title:International Journal of Applied Earth Observation and Geoinformation

Author:

Wambugu Naftaly,Chen Yiping,Xiao Zhenlong,Wei Mingqiang,Aminu Bello Saifullahi,Marcato Junior José,Li Jonathan

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Computers in Earth Sciences,Earth-Surface Processes,Global and Planetary Change

Reference49 articles.

1. Extraction of urban multi-class from high-resolution images using pyramid generative adversarial networks;Alshehhi;Int. J. Appl. Earth Obs. Geoinf.,2021

2. SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation;Badrinarayanan;IEEE Trans. Pattern Anal. Mach. Intell.,2017

3. Silvi-Net – A dual-CNN approach for combined classification of tree species and standing dead trees from remote sensing data;Briechle;Int. J. Appl. Earth Obs. Geoinf.,2021

4. Albumentations: Fast and Flexible Image Augmentations;Buslaev;Inf.,2020

5. DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs;Chen;IEEE Trans. Pattern Anal. Mach. Intell.,2018

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