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Land-cover classification with high-resolution remote sensing images using transferable deep models

  • Published:2020-02 Issue: Volume:237 Page:111322
  • ISSN:0034-4257
  • Container-title:Remote Sensing of Environment
  • language:en
  • Short-container-title:Remote Sensing of Environment

Author:

Tong Xin-Yi,Xia Gui-Song,Lu Qikai,Shen Huanfeng,Li Shengyang,You Shucheng,Zhang Liangpei

Funder

National Natural Science Foundation of China

Open Research Fund of Key Laboratory of Space Utilization, Chinese Academy of Science

Outstanding Youth Project of Hubei Province

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geology,Soil Science

Reference107 articles.

1. Markov random field-based super-resolution mapping for identification of urban trees in vhr images;Ardila;ISPRS J. Photogrammetry Remote Sens.,2011

2. How useful is region-based classification of remote sensing images in a deep learning framework?;Audebert,2016

3. Segnet: a deep convolutional encoder-decoder architecture for image segmentation;Badrinarayanan;IEEE Trans. Pattern Anal. Mach. Intell.,2017

4. Classification of hyperspectral data from urban areas based on extended morphological profiles;Benediktsson;IEEE Trans. Geosci. Remote Sens.,2005

5. Multi-resolution, object-oriented fuzzy analysis of remote sensing data for gis-ready information;Benz;ISPRS J. Photogrammetry Remote Sens.,2004

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