articleProceedings of the IEEEApr 3, 2017GREEN OA

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

GCGong ChengJHJunwei HanXLXiaoqiang Lu

Northwestern Polytechnical University · Xi'an Institute of Optics and Precision Mechanics

Indexed inarxivcrossref

Abstract

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 data sets or present a variety of approaches for scene classification from remote sensing images. However, a systematic review of the literature concerning data sets and methods for scene classification is still lacking. In addition, almost all existing data sets 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. These limitations severely limit the development of new…

Citation impact

2,528
total citations
FWCI
133.69
Percentile
100%
References
170
Citations per year

Authors

3
  • GC
    Gong ChengCorresponding

    Northwestern Polytechnical University

  • JH
    Junwei Han

    Northwestern Polytechnical University

  • XL
    Xiaoqiang Lu

    Xi'an Institute of Optics and Precision Mechanics

Topics & keywords

Keywords
  • Benchmark (surveying)
  • Image (mathematics)
  • Set (abstract data type)
  • Contextual image classification
  • Data set
  • Scale (ratio)
  • Object (grammar)
  • Object detection
No related works found for this paper.

Funding