Refinement of a method for identifying probable archaeological sites from remotely sensed data

James C. Tilton, Douglas C. Comer, Carey E. Priebe, Daniel Sussman, Li Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

To facilitate locating archaeological sites before they are compromised or destroyed, we are developing approaches for generating maps of probable archaeological sites, through detecting subtle anomalies in vegetative cover, soil chemistry, and soil moisture by analyzing remotely sensed data from multiple sources. We previously reported some success in this eort with a statistical analysis of slope, radar, and Ikonos data (including tasseled cap and NDVI transforms) with Student's t-test. We report here on new developments in our work, performing an analysis of 8-band multispectral Worldview-2 data. The Worldview-2 analysis begins by computing medians and median absolute deviations for the pixels in various annuli around each site of interest on the 28 band dierence ratios. We then use principle components analysis followed by linear discriminant analysis to train a classier which assigns a posterior probability that a location is an archaeological site. We tested the procedure using leave-one-out cross validation with a second leave-one-out step to choose parameters on a 9,859x23,000 subset of the WorldView-2 data over the western portion of Ft. Irwin, CA, USA. We used 100 known non-sites and trained one classier for lithic sites (n=33) and one classier for habitation sites (n=16). We then analyzed convex combinations of scores from the Archaeological Predictive Model (APM) and our scores. We found that that the combined scores had a higher area under the ROC curve than either individual method, indicating that including WorldView-2 data in analysis improved the predictive power of the provided APM.

Original languageEnglish (US)
Title of host publicationAlgorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVIII
PublisherSPIE
ISBN (Print)9780819490681
DOIs
StatePublished - Jan 1 2012
Event18th Annual Conference on Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery - Baltimore, MD, United States
Duration: Apr 23 2012Apr 27 2012

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume8390
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Other

Other18th Annual Conference on Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery
CountryUnited States
CityBaltimore, MD
Period4/23/124/27/12

Keywords

  • Classification
  • Feature extraction
  • Image processing

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Refinement of a method for identifying probable archaeological sites from remotely sensed data'. Together they form a unique fingerprint.

  • Cite this

    Tilton, J. C., Comer, D. C., Priebe, C. E., Sussman, D., & Chen, L. (2012). Refinement of a method for identifying probable archaeological sites from remotely sensed data. In Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVIII [83901K] (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 8390). SPIE. https://doi.org/10.1117/12.918366