Discussion on Development of Mineral Identification System Based on IDL

Article Preview

Abstract:

The traditional data processing and analysis method of remote sensing image processing system cannot meet the hyperspectral remote sensing mass data processing and the need of practical application in mineral resources exploration. By studying the systematical analysis and key technology on the hyperspectral mineral information identification module, and analyzing and thinking about the relevant theoretical methods and technical process, carried out the development of hyperspectral mineral information identification module based on IDL and integrated with ENVI software, providing the basic support platform for hyperspectral remote sensing mineral resources exploration. Meanwhile, the existing problems were discussed from the spectral characteristics mechanism analysis of rock and the hyperspectral mineral identification optimization algorithms.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 971-973)

Pages:

1607-1610

Citation:

Online since:

June 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Boardman J W, Kruse F A. Automated spectral analysis: a geological example using AVIRIS data, north Grapevine Mountains, Nevada: Proceedings of the Thematic Conference on Geologic Remote Sensing, 1994[C]. Environmental Research Institute of Michigan.

Google Scholar

[2] Van Der Meer F, Bakker W. CCSM: Cross correlogram spectral matching[J]. International Journal of Remote Sensing, 1997, 18(5): 1197-1201.

DOI: 10.1080/014311697218674

Google Scholar

[3] Xie H, Hicks N, Randy Keller G, et al. An IDL/ENVI implementation of the FFT-based algorithm for automatic image registration[J]. Computers & Geosciences, 2003, 29(8): 1045-1055.

DOI: 10.1016/s0098-3004(03)00104-3

Google Scholar

[4] Marschallinger R. Three-dimensional reconstruction and visualization of geological materials with IDL—examples and source code[J]. Computers & Geosciences, 2001, 27(4): 419-426.

DOI: 10.1016/s0098-3004(00)00126-6

Google Scholar