Remote Sensing | |
Automated Extraction of the Archaeological Tops of Qanat Shafts from VHR Imagery in Google Earth | |
Lei Luo2  Xinyuan Wang2  Huadong Guo2  Chuansheng Liu2  Jie Liu2  Li Li2  Xiaocui Du2  Guoquan Qian3  Rosa Lasaponara1  Nicola Masini1  Clement Atzberger1  | |
[1] Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China;;Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China; E-Mails:;Gansu Provincial Institute of Urban Development, Lanzhou 730070, China; E-Mail: | |
关键词: qanats; extraction; archaeological traces; circular Hough transform; Google Earth; very high resolution; | |
DOI : 10.3390/rs61211956 | |
来源: mdpi | |
【 摘 要 】
Qanats in northern Xinjiang of China provide valuable information for agriculturists and anthropologists who seek fundamental understanding of the distribution of qanat water supply systems with regard to water resource utilization, the development of oasis agriculture, and eventually climate change. Only the tops of qanat shafts (TQSs), indicating the course of the qanats, can be observed from space, and their circular archaeological traces can also be seen in very high resolution imagery in Google Earth. The small size of the TQSs, vast search regions, and degraded features make manually extracting them from remote sensing images difficult and costly. This paper proposes an automated TQS extraction method that adopts mathematical morphological processing methods before an edge detecting module is used in the circular Hough transform approach. The accuracy assessment criteria for the proposed method include: (i) extraction percentage (
【 授权许可】
CC BY
© 2014 by the authors; licensee MDPI, Basel, Switzerland.
【 预 览 】
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