Subsetting hyperspectral core imaging data using a graphic-identification-based IDL program
| Autor: | Jun-Ting Qiu, Chuan Zhang, Zhang-Fa Yu, Ding Wu, Jia-Lei Yao, Wei-Wei Li, Xu Qingjun |
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| Rok vydání: | 2017 |
| Předmět: |
010504 meteorology & atmospheric sciences
Pixel Drill Computer science Process (computing) Hyperspectral imaging 010502 geochemistry & geophysics 01 natural sciences Imaging data Core (optical fiber) Identification (information) Computer graphics (images) Computers in Earth Sciences 0105 earth and related environmental sciences Information Systems Uranium deposit |
| Zdroj: | Computers & Geosciences. 106:68-76 |
| ISSN: | 0098-3004 |
| DOI: | 10.1016/j.cageo.2017.05.009 |
| Popis: | This study presents an IDL program to subset hyperspectral drill core imagery automatically based on graphic identification. A HySpex SWIR-320m-e imager and drill cores from the Xiangshan uranium deposit were used to do an application test. Based on the HySpex images, we found that the ratio variation tolerance of 75%, minimum marker size of 37 pixel × 37 pixel (28 mm × 28 mm), and wavelength of 1141.3 nm (band #30) are preferences for the IDL program. The results indicate that the IDL program subsets hyperspectral images with high accuracy and efficiency without consuming additional time during the scanning process. Additionally, deformation of the core box, the material from which the core box is made, and variation in the diameter of the drill core do not significantly affect the quality of the results. |
| Databáze: | OpenAIRE |
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