Statistical attributes are calculated based on the image pixels inside an object. Attributes are calculated for each of the selected image bands and added to the attribute table of the vector segment layer as new fields (attributes). The following table provides a description of statistical attributes you can calculate.
| Attribute | Short name | Description |
|---|---|---|
| Min. | Min | Minimum value of the pixels beneath an object in a selected band |
| Max. | Max | Maximum value of the pixels beneath an object in a selected band |
| Mean | Mean | Mean value of the pixels beneath an object in a selected band |
| Standard deviation | StdV | Standard-deviation value of the pixels beneath an object in a selected band |
Imagery and data sets of various resolutions are often used in an object-based image analysis (OBIA) to combine information from (a) high-spatial-resolution panchromatic or wide-band multispectral imagery acquired at a low-temporal resolution with (b) imagery from narrow-band multispectral high-temporal resolution with a low-spatial resolution. This fusion of information of various resolutions is used commonly with multitemporal image analysis.
Pixels along the borders of segments contain information from the adjoining segments and act as mixed pixels. This can have substantial impact on the local mean of a segment. To overcome the mixed-pixels issue, you can opt to calculate statistics by excluding the pixels on the segment boundary. This is referred to as pure-pixel statistics.
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