Extraction of ore-searching information of uranium deposit based on high spatial resolution satellite data

Xu Yang; De-Chang Liu; Jie-Lin Zhang

doi:10.1117/12.813207

7 November 2008 Extraction of ore-searching information of uranium deposit based on high spatial resolution satellite data

Xu Yang, De-Chang Liu, Jie-Lin Zhang

Author Affiliations +

Proceedings Volume 7147, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Classification of Remote Sensing Images; 714707 (2008) https://doi.org/10.1117/12.813207
Event: Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Geo-Simulation and Virtual GIS Environments, 2008, Guangzhou, China

Abstract

Uranium deposit has very important status in our national defiance and economy qua a kind of strategic mineral resources. It is important to point out which information should be extracted as ore-searching ones of uranium deposit. In this study, a kind of high spatial resolution satellite data-QuickBird satellite data, with 0.6m class panchromatic (Pan) and 2.4m multi-spectral stereoscopic data, was used to extract the ore-searching information of uranium deposit in Bashibulake area at the north of Tarim basin. By using effective methods of image processing, the information of ore-bearing bed, ore-control structure and mineralized alteration have been extracted successfully. The results show a high consistency with the field survey. The aim of this study is to explore practicability of high spatial resolution satellite data for prospecting minerals, and to broaden the thinking of ore-searching at similar areas.

Citation Download Citation

Xu Yang, De-Chang Liu, and Jie-Lin Zhang "Extraction of ore-searching information of uranium deposit based on high spatial resolution satellite data", Proc. SPIE 7147, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Classification of Remote Sensing Images, 714707 (7 November 2008); https://doi.org/10.1117/12.813207

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KEYWORDS

Uranium

Image fusion

Satellites

Minerals

Principal component analysis

Image processing

Spatial resolution

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