2017

Remote Sensing Image Scene Classification: Benchmark and State of the Art

Cheng, Gong, Han, Junwei, Lu, Xiaoqiang

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Remote sensing image scene classification plays an important role in a wide range of applications and hence has been receiving remarkable attention.

  • During the past years, significant efforts have been made to develop various datasets or present a variety of approaches for scene classification from remote sensing images.
  • However, a systematic review of the literature concerning datasets and methods for scene classification is still lacking.
  • In addition, almost all existing datasets have a number of limitations, including the small scale of scene classes and the image numbers, the lack of image variations and diversity, and the saturation of accuracy.

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