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Estimating neighborhood variability with a binary comparison matrix.

Photogrammetric Engineering and Remote Sensing

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Abstract

A technique which utilizes a binary comparison matrix has been developed to implement a neighborhood function for a raster format data base. The technique assigns an index value to the center pixel of 3- by 3-pixel neighborhoods. The binary comparison matrix provides additional information not found in two other neighborhood variability statistics; the function is sensitive to both the number of classes within the neighborhood and the frequency of pixel occurrence in each of the classes. Application of the function to a spatial data base from the Kenai National Wildlife Refuge, Alaska, demonstrates 1) the numerical distribution of the index values, and 2) the spatial patterns exhibited by the numerical values. -Author

Additional Publication Details

Publication type:
Article
Publication Subtype:
Journal Article
Title:
Estimating neighborhood variability with a binary comparison matrix.
Series title:
Photogrammetric Engineering and Remote Sensing
Volume
51
Issue:
6
Year Published:
1985
Language:
English
Larger Work Type:
Article
Larger Work Subtype:
Journal Article
Larger Work Title:
Photogrammetric Engineering and Remote Sensing
First page:
667
Last page:
674
Number of Pages:
8