I'm doing some time-intensive projecting of aerial photos, and I'm curious - what resampling technique is best to use on aerial photos? In ArcMap, my options are NEAREST, BILINEAR, CUBIC, and MAJORITY.
Nearest Neighbor and Majority are recommended for categorical data, whereas Cubic Convolution and Bilinear Interpolation are for continuous data.
I'm curious to know if there's any commonly-used algorithm for projecting aerial photos. I've just finished projecting one image using Nearest Neighbor and it seems to look good, but an aerial photo is not categorical data, so I'm going to try Bilinear next.
I wasn't thinking of aerial photos as the same kind of continuous data as DEMs or precipitation data, but whuber pointed out that they are continuous and should be handled as such. Thanks again.