Study on Remote Sensing Faults Information Extraction in Eastern Kunlun, NW China

Abstract:

Choosing the junction of Altun-Kunlun orogenic belt as the anatomical area of extracting complex texture and structure information from remote sensing images, make full use of multi-band remote sensing images to reflect the characteristics of the properties, to extract hidden information through image processing. Analyzing the structure elements by geological body, rock combination, linear and banded structure, penetrative and non-penetrative planar structure, folds, to carry out the surficial composition and structure research of the the junction of Altun-Kunlun orogenic belt, identifying different geological bodies, the fault zones, ductile shear zones, superimposed folds and different strain zones, the different types of foliation, clarifying the characteristics of multi-source remote sensing image from the angle of the image processing methods, proposing new remote sensing image extraction methods and recognition of structural information technology and new understanding of the regional geology.

• Periodical: Applied Mechanics and Materials (Volumes 380-384)
• Pages: 3958-3961
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.380-384.3958
• Online since: August 2013
• Authors: Xiao Hu Zhou
• Keywords: Fault, Information Extraction, Kunlun, Remote Sensing

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