What is the basis for the links in auto registration?

The correct answer is based on the concept that the texture of datasets plays a crucial role in auto registration processes. Texture refers to the spatial arrangement and patterns of the data, which can assist in aligning different datasets by recognizing similar features and structures within the images. When images being auto-registered share similar textures, the registration algorithm can identify corresponding points or areas, facilitating a better match between the datasets.

In practice, effective auto-registration relies on identifying these textural features because they can indicate similar land cover types, patterns, or configurations that help in aligning two disparate layers accurately. Different algorithms might utilize texture analysis to enhance the registration process, making this characteristic vital.

The other choices mention aspects that do not inherently address the method of registration. Spatial information in map sheet margins pertains to metadata and positioning rather than the actual alignment process, similar lines in raster images may be relevant but do not comprehensively define auto registration practices, and cell size does influence data resolution but does not directly relate to the linking process involved in auto registration. Thus, the emphasis on texture is what makes this option the most relevant and correct in the context of auto registration.