General tab

The information in the Name box, which you can modify, if necessary, is displayed on the Maps tab.

To make the layer read-only, select the check box.

To hide the layer, clear the check box.

To specify a priority, type or select the priority number you want in the Priority box.

For more information about the priority of a layer, see Reordering layers.

To select a new method, click the Resample method list, and then select the one you want.

Nearest neighbor is the most appropriate resampling method to use with discrete data. It identifies the gray level of the pixel closest to the specified input coordinates and assigns that value to the output coordinates. Although this method is considered the most efficient in computation time, it introduces small errors in the output image. The output image may be offset spatially by up to half a pixel, which may cause the image to have a jagged appearance.

Bilinear interpolation determines the gray level from the weighted average of the nine closest pixels to the specified input coordinates and assigns that value to the output coordinates. This method generates an image with a smoother appearance than nearest neighbor, but the gray-level values are altered in the process, which can result in blurring or loss of image resolution. Similar to cubic-convolution resampling, bilinear interpolation is most appropriate for continuous data.

Cubic convolution determines the gray level from the weighted average of the 16 pixels closest to the specified input coordinates and assigns that value to the output coordinates. The resulting image is slightly sharper than one produced with bilinear interpolation, and it does not have the disjointed appearance produced by nearest neighbor. Similar to bilinear interpolation, cubic convolution is most appropriate for continuous data.

An enhancement can be applied by default. For more information about a default enhancement, see Setting a default enhancement.