Object-Based Image Analysis for Classifying Precontact Native American Mud Glyphs by Production Technique

Summary

This is an abstract from the "Interdisciplinary Approaches to Rock Art Documentation, Research, and Analysis" session, at the 88th annual meeting of the Society for American Archaeology.

In recent years, rock art researchers have adopted a variety of automated methods that classify rock art images from high-resolution photographs and 3D models. These methods not only aid in the documentation of rock art, but can also assist with interpreting complex panels with multiple types of images represented. This paper discusses a semi-automated, GIS-based method for classifying precontact mud glyph manufacturing techniques using a high-resolution 3D photogrammetric model from southeastern North America. Through photogrammetry, it is possible to identify morphological variation between two types of mud glyphs that were produced with different artistic techniques. This information is then used to perform object-based image analysis on glyph panels, which successfully classified each glyph by the technique used to create it.

This Resource is Part of the Following Collections

• Interdisciplinary Approaches to Rock Art Documentation, Research, and Analysis   •
• Society for American Archaeology 88th Annual Meeting, Portland, OR (2023)

Keywords

Spatial Coverage

Record Identifiers

Abstract Id(s): 36751.0