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The use of landscape pattern metrics in remote sensing image classification

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This letter demonstrates the utility of landscape pattern metrics for increasing classification accuracy of land cover. Three examples are provided for the use of a landscape shape complexity measure in remote sensing segmentation‐based classification schemes. The examples include: (1) classification of thaw lakes on the North Slope of Alaska; (2) classification of drained basins in Alaska; and (3) classification of natural vs. anthropogenic pastures in Bolivia. In these examples the Square Pixel Metric ( SqP ) was applied to objects created from image segmentation to distinguish between categories that had similar spectral properties but different shape complexity values.
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Keywords: Landscape metrics; Segmentation; Shape complexity; Spatial classification

Document Type: Research Article

Affiliations: Department of Geography, University of Cincinnati, Cincinnati, Ohio 45221‐0131

Publication date: 2006-05-01

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