As the three core elements of artificial intelligence—algorithms, computing power, and data— interact and support one another, outstanding results can be achieved in intelligent remote sensing image interpretation, realizing a certain degree of autonomous recognition of remote sensing images and forming a new industrial form in the satellite remote sensing industry. Among them, as the training basics for the model of remote sensing image interpretation to recognize target features, data play a crucial role in the intelligent remote sensing image interpretation task.

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Intelligent Expansion and Sample Amplification of Remote Sensing Images

  • Pengming Feng,
  • Yuanwei Chen,
  • Haiyan Lan,
  • Guangjun He,
  • Yang Li,
  • Jian Guan

摘要

As the three core elements of artificial intelligence—algorithms, computing power, and data— interact and support one another, outstanding results can be achieved in intelligent remote sensing image interpretation, realizing a certain degree of autonomous recognition of remote sensing images and forming a new industrial form in the satellite remote sensing industry. Among them, as the training basics for the model of remote sensing image interpretation to recognize target features, data play a crucial role in the intelligent remote sensing image interpretation task.