It is not recommended that either of these techniques be used with categorical data because different cell values may be introduced, which may be undesirable. Note that cubic convolution may result in the output raster containing values outside the range of the input raster. These are the most appropriate choices for continuous data but may cause some smoothing. The CUBIC option uses cubic convolution to determine the new cell value by fitting a smooth curve through the surrounding points. The BILINEAR option uses bilinear interpolation to determine the new value of a cell based on a weighted distance average of the four nearest surrounding cells. It is not recommended to be used for continuous data, such as elevation surfaces. It is primarily used for categorical data, such as a land-use classification, because it will not change the cell values. The NEAREST option, which performs a nearest neighbor assignment, is the fastest of the four interpolation methods.

Projects a raster dataset into a new spatial reference using a bilinear interpolation approximation method, which projects pixels on a coarse mesh grid and uses bilinear interpolation between the pixels. When storing your raster dataset to a JPEG file, a JPEG 2000 file, or a geodatabase, you can specify a Compression Type type and Compression Quality within the Environment Settings. You can save your output to BIL, BIP, BMP, BSQ, DAT, Esri Grid, GIF, IMG, JPEG, JPEG 2000, PNG, TIFF, or any geodatabase raster dataset. This tool can only output a square cell size. You may want to change the coordinate system so your data is all in the same projection.

You are able to choose a preexisting spatial reference, import it from another dataset, or create a new one. This tool guarantees that the error is less than half a pixel. The coordinate system defines how your raster data is projected. Learn more about how Project Raster works Usage Transforms the raster dataset from one projection to another.

Arcgis define raster projection