Remote Sensing Image Scene Classification Meets Deep Learning: Challenges, Methods, Benchmarks, and Opportunities

Remote sensing image scene classification, which aims at labeling remote sensing images with a set of semantic categories based on their contents, has broad applications in a range of fields. Propelled by the powerful feature learning capabilities of deep neural networks, remote sensing image scene classification driven by deep learning has drawn remarkable attention and achieved significant breakthroughs. However, to the best of our knowledge, a comprehensive review of recent achievements regarding deep learning for scene classification of remote sensing images is still lacking. Considering the rapid evolution of this field, this article provides a systematic survey of deep learning methods for remote sensing…

• NS
  National Science Foundation
• NN
  National Natural Science Foundation of China

  Awards: 61773315, 61772425
• ST
  Science, Technology and Innovation Commission of Shenzhen Municipality

  Award: JCYJ20180306171131643
• FR
  Fundamental Research Funds for the Central Universities

  Award: 3102019AX09