Pattern Recognition of Oil Pool with SWIR Scanner Data
机载短波红外分光谱扫描数据进行油气藏勘查的模式识别研究

Hydrocarbon content anomalies in soil above oil pool are good directindicating index on the earth surface. Oil remote sensing anomalies were obtainedby airborne SWIR scanner images through micro-computer image processing,inclu-ding image restoration,oil anomalous information extraction and recognition basedon spectral features of the index. The result was proved to be correspondent with the ascertained distributionof oil pools.