A New Measure of Classification Error : Designed for Landscape Pattern Index

@inproceedings{Chen2010ANM,
  title={A New Measure of Classification Error : Designed for Landscape Pattern Index},
  author={Xue-wen Chen and Yasushi Yamaguchi and Jianzhi Chen},
  year={2010}
}
Classified thematic maps based on remote sensing data are usually used to derive Landscape Pattern Index (LPI). However, the classification error can be propagated into the LPIs calculation, while it is usually ignored in the previous literatures. Correctly estimating the LPI error is vital for reliable landscape analysis; however, the widely accepted accuracy assessment method without considering spatial information is not suitable for indicating LPI error. In this paper, we developed a new… CONTINUE READING

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