Estimating neighborhood variability with a binary comparison matrix.
Photogrammetric Engineering and Remote Sensing
By: D.L. Murphy
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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
| 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 |
| Contributing office(s) | Earth Resources Observation and Science (EROS) Center |
| Description | 8 p. |
| First page | 667 |
| Last page | 674 |
| Google Analytic Metrics | Metrics page |