A survey of image classification methods and techniques for improving classification performance

@inproceedings{Lu2007ASO,
  title={A survey of image classification methods and techniques for improving classification performance},
  author={Dengsheng Lu and Qihao Weng},
  year={2007}
}
Image classification is a complex process that may be affected by many factors. This paper examines current practices, problems, and prospects of image classification. The emphasis is placed on the summarization of major advanced classification approaches and the techniques used for improving classification accuracy. In addition, some important issues affecting classification performance are discussed. This literature review suggests that designing a suitable image-processing procedure is a… CONTINUE READING

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Key Quantitative Results

  • An overall classification accuracy of 88% was achieved from multitemporal images compared to 69% from single-date imagery.

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