摘要
高光谱遥感识别烃蚀变矿物可用于探测油气烃类微渗漏和定位地下油气藏。以有天然气分布的柴达木盆地东部三湖地区为研究区,对Hyperion高光谱数据进行重采样处理,克服了目标识别矿物不明显和传感器低信噪比的影响。通过确定烃蚀变矿物高光谱遥感探测的指示标志,采用线性光谱(SAM)拟合与光谱匹配(SAM)相结合的方法确定了影像端元对应的矿物组分。识别结果表明,合理缩减影像波段数和确定影像端元的方法,能有效提高烃蚀变矿物的高光谱遥感识别精度。
The identification of hydrocarbon alteration minerals with hyperspectral remote sensing can be used to detect hydrocarbon microseepages and locate underground oil-gas reservoirs.Taking the Three-lake region in eastern Qaidam basin where natural gas is accumulated as an example,the authors resampled hyperion hyperspectral data to overcome the impact of unobvious target minerals and low SNR of the sensor.Through defining the indicative signature for detecting hydrocarbon alteration minerals with hyperspectral remote sensing,mineral components corresponding to image end-members were determined effectively by using the spectral analysis method of spectral matching combined with spectral linear fitting.Comparative identification results with algorithms of spectral angle matching(SAM) and linear spectral unmixing(LSU) show that the method for reducing image band numbers and determining end-members can effectively enhance the precision of identification for hydrocarbon alteration minerals with hyperspectral remote sensing.
出处
《国土资源遥感》
CSCD
2009年第2期54-61,共8页
Remote Sensing for Land & Resources
基金
中国地质调查局地质大调查项目“中-热红外多/高光谱矿物填图及遥感异常信息提取技术应用研究”(编号:121201066060)
关键词
高光谱遥感
石油
天然气
烃蚀变矿物
柴达木盆地
Hyperspectral remote sensing
Oil
Gas
Hydrocarbon alteration minerals
Qaidam basin
