基于CORONA影像的浅层地层信息定量提取

Quantitative extraction of shallow stratum information based on CORONA imagery

利用解密的美国CORONA卫星影像,在库车冲断褶皱带,开展大面积地表构造调查,获取地区的地表产状.通过建立有理函数模型(rational function model,RFM)校正CORONA影像的全景变形,利用JX-4C数字摄影测量系统进行CORONA影像的立体观测和测量,确定岩层面的高程值,并采用三点法在MATLAB软件中计算岩层的倾角和走向,获取地表产状.通过和野外实测数据对比,测量误差小于3°,满足了构造定量解析的精度要求.应用获取的构造产状结合二维地震反射资料,根据断层相关褶皱原理定量地提取库车地区褶皱和断层的几何学特征.

A surface tectonic survey was performed in a steep and complex region of Kuqa fold-and-thrust belt, South Tianshan Mountain, China, using CORONA satellite imagery declassified by US to obtain surface bedding attitude measurements. A rational function model （RFM） was founded to rectify the panoramic deformation of CORONA imagery. Thus triangular face in the imagery was observed and measured using JX-4C digital photogrammetric system, and its strike and dip of bedding were calculated using MATLAB software based on a three-point method. The measurement error was less than 3° in Qiulitag folding belt where triangular faces obviously developed, compared with the measurement data from field survey. This precision reaches the requirement for quantitative structural interpretation. Projecting the bedding attitudes to seismic reflection profiles may compensate some portions of ambiguous reflection gaps in seismic profiles posed by steep strata, and thus the geometric characteristics of the folds and faults in the Kuqia area were quantitatively extracted based on fault-related folding theories.