Extraction of Remote Sensing Gray Anomalies Based on the Fractal Model: Taking the Extracting Iron Alteration Anomalies from the Duobaoshan District, Heilongjiang Province
详细信息
- 责任者：Diao Hai (School of Earth Sciences and Resources ; China University of Geosciences ; Beijing 100083 ; China) ; Zhang Da
- 刊名：Geology and Prospecting
- 出版年：2011
- 卷期：47(5)
- 关键词：遥感 ; remote sensing ; 分形分析 ; fractal analysis ; 黑龙江 ; Heilongjiang River
- 页码：p.903-908
- 图表：2 illus., 2 tables, 16 refs.
- 分类号：1600
- 出版序号：909
- issnNo：ISSN0495-5331
- isbnNo：CN11-2043/P
摘要
Fractal is characterized by scale invariance which means a self-similarity statistically in a certain range of scales. Self-similarity is very common in geological phenomena, such as structural shape, deposit distribution, and element content of rock. In this paper, taking the Duobaoshan district as an example, the component reflecting iron anomalies is calculated by principal component analysis and the threshold of anomaly gray is determined by a fractal model. Then, the authors compare the iron anomalies, △T contours, Bouguer gravity anomaly contours and known deposits. The result shows that the extracted iron anomalies are consistent with the faults and known ore deposits.