We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Research on fine recognition of site spatial archaeology based on multisource high - resolution data.
- Authors
SHU Huiqin; FANG Junyong; LU Peng; GU Wanfa; WANG Xiao; ZHANG Xiaohong; LIU Xue; DING Lanpo
- Abstract
The ancient city of Pingtao, Zhengzhou City, Henan Province, was an important city in the Eastern Zhou Dynasty and has important historical value. Due to the problems of time - consuming, heavy investment and heavy workload in traditional archaeological investigations, the settlement layout and relic distribution of the old city of Pingtao are still unclear. In this study, the authors selected Corona, Google Earth historical images and aerial thermal infrared images, comparatively analyzed the tonal and texture features on images of different loads, phases and scales, and extracted the archaeological anomalous areas of the Pingtao City site and Dianjuntai site. Suspected ruins such as city walls, gates, corner platforms and rectangular building foundations were discovered, and the spatial structure of the ruins was initially reconstructed based on the identification results. The results of the study show that Corona imagery helps to identify the early appearance of the site, Google Earth historical imagery provides assistance for the detection and extraction of tiny suspected relic features, and aerial thermal infrared imagery can reveal such archeological features as indistinct burial on the ground or optical image. The research proves that the comprehensive utilization of multi - source high - score data can investigate, predict and reconstruct the distribution and spatial structure of the relics, thus providing a reference for further archaeological research and site protection.
- Publication
Remote Sensing for Natural Resources, 2021, Vol 33, Issue 2, p162
- ISSN
2097-034X
- Publication type
Article
- DOI
10.6046/gtzyyg.2020293