A Comparative Analysis of Several Hyperspectral Methods in the Extraction of Altered Minerals：A Case Study of Laojinchang in Beishan Area
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摘要: 近年来，提出的多种高光谱分析方法已成功应用于蚀变矿物提取，但不同方法的提取效果存在差异。中国西北地区的蚀变矿物信息往往表现为微弱和难识别，因此如何定量对比不同分析方法的有效性值得探究。以北山老金厂的CASI-SASI机载高光谱数据为例，协同“最小噪声分离-纯净像元指数-n维可视化”技术，分析了高光谱数据进行降维去噪和纯净端元提取中的关键阈值。引入相似度增量和相关光谱区分熵，定量对比MTMF、SFF、SID、SAM、ACE 5种提取方法的有效性，并选择效果相对最佳的ACE方法提取实验区蚀变矿物信息，最后通过典型地质剖面验证的方式对结果进行检验。结果表明：MNF变换可以有效将波段按图像质量排序，实现数据降维和去噪声；而PPI算法运算时最佳阈值出现在迭代曲线变为趋于近似水平线的时候。几种方法中，ACE与MTMF法对光谱曲线细微变化的反应相对更灵敏，两者的对比指标也基本一致。野外地质剖面验证发现实验提取的蚀变矿物类型能够与地表蚀变地质体类型吻合，且矿床的围岩蚀变可以被蚀变矿物信息组合有效反应。研究结果可为西北戈壁荒漠区中蚀变矿物信息的提取及应用提供理论依据和技术参考。Abstract: Various hyperspectral analysis methods proposed in recent years have been successfully applied to the extraction of altered minerals, but the effects of different extraction methods vary differently. As information of altered minerals in Northwest China tends to be weak and hard to identify, how to quantitatively compare the effectiveness of different analysis methods is worth further investigation. Taking the CASI-SASI airborne hyperspectral data of Laojinchang in Beishan area as an example, the “minimum noise separation-pure pixel index-n-dimensional visualization” technology was used to analyze the key thresholds in the dimensionality reduction and denoising of hyperspectral data and the extraction of pure pixels. The authors quantitatively compared the effectiveness of five extraction methods (MTMF, SFF, SID, SAM and ACE) with the help of the similarity increment and spectral distinction entropy index. The ACE method, with a relatively better extraction effect, was selected to extract altered mineral information in the experimental area. The results were finally tested by means of typical geological section verification. The results show that the MNF transform can effectively sort the bands according to the image quality to achieve data dimensionality reduction and denoising; the optimal algorithm threshold of the PPI appears when the iterative curve becomes close to the horizontal line. Among the methods mentioned, the ACE and MTMF methods are more sensitive to slight changes in the spectral curve and the comparison indexes of the two methods are basically the same. Field verification of the geological section found out that the types of altered minerals extracted in experiments was consistent with the types of surface altered geological bodies, and the surrounding rock alteration of the deposit was effectively reflected by the altered mineral information combination. The research provides theoretical basis and technical reference for the extraction and application of altered mineral information in Gobi desert areas of Northwest China.
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Keywords:
- hyperspectral /
- altered mineral /
- information extraction method /
- contrastive analysis /
- Laojinchang
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任广利,杨军录,杨敏,等. 高光谱遥感异常提取在甘肃北山金滩子-明金沟地区成矿预测中的应用[J]. 大地构造与成矿学,2013,37(4):765-776. REN Guangli, YANG Junlu, YANG Min,et al. Application of Hyperspectral Remote Sensing Anomaly Information on Metallogenic Prediction in the Jintanzi-Mingjingou Area of Beishan, Gansu[J]. Geotectonica et Metallogenia, 2013, 37(4):765-776.
韩海辉,王艺霖,任广利,等. 基于ASTER数据的北山方山口地区蚀变矿物提取与找矿应用[J].遥感技术与应用,2016,31(2):368-377. HAN Haihui, WANG Yilin,REN Guangli, et al. Extraction and Application of Altered Mineral in Prospecting from ASTER Data in FangShankou, BeiShan[J]. Remote Sensing Technology and Application,2016,31(2)368-377.
韩海辉,王艺霖,张转,等. 一种新的高光谱遥感蚀变矿物提取算法-MSSSt相似光谱匹配组合法[J].遥感信息,2019,34(5):21-28. HAN Haihui, WANG Yilin, ZHANG Zhuan, et al. A New Spectral Matching Method for Altered Mineral Identification from Hyperspectral Remote Sensing-MSSSt[J]. Remote Sensing Information,2019,34(5):21-28.
胡鹏. 北山南带构造岩浆演化与金的成矿作用[D]. 北京:中国地质科学院,2007. HU Peng. Tectonomagmatic Evolution and Gold Metallogeny in South Beishan Mountain, Northwest China[D]. Beijing:Chinese Academy of Geological Sciences, 2007.
黄华国. 林业定量遥感研究进展和展望[J].北京林业大学学报,2019,41(12):1-14. HUANG Huaguo. Progress and Perspective of Quantitative Remote Sensing of Forestry[J]. Journal of Beijing Forestry University, 2019,41(12):1-14.
刘德长, 叶发旺, 赵英俊, 等. 航空高光谱遥感金矿床定位模型及找矿应用——以甘肃北山柳园-方山口地区为例[J]. 地球信息科学学报, 2015, 17(12):1545-1553. LIU Dechang, YE Fawang,ZHAO Yingjun, et al. Airborne Hyperspectral Remote Sensing for Gold Prospecting Around Liuyuan-Fangshankou Area, Gansu Province, China[J]. Journal of Geo-information Science, 2015, 17(12):1545-1553.
王润生,杨苏明,阎柏琨. 成像光谱矿物识别方法与识别模型评述[J]. 国土资源遥感,2007,(1):1-8. WANG Runsheng, YANG Suming, YAN Baikun, et al. A Review of Mineral Spectral Identification Methods and Models with Imaging Spectrometer[J]. Remote Sensing for Land & Resources, 2007,(1):1-8.
张良培. 高光谱目标探测的进展与前沿问题[J].武汉大学学报:信息科学版,2014,39(12):1387-1400. ZHANG Liangpei. Advance and Future Challenges in Hyperspectral Target Detection[J]. Geomatics and Information Science of Wuhan University, 2014,39(12):1387-1400.
张修宝,袁艳,王潜. 基于梯度的信息散度的光谱区分方法[J]. 光学学报,2011,31(5):244-248. ZHANG Xiubao, YUAN Yan, WANG Qian. Spectral Discrimination Method Based on Information Divergence of Gradient[J]. Acta Optica Sinica, 2011,31(5):244-248.
张卓,龙慧灵,王崇倡,等. 冬小麦叶片光合特征高光谱遥感估算模型的比较研究[J].中国农业科学,2019,52(4):616-628. ZHANG Zhuo, LONG Huiling, WANG Chongchang, et al. Comparison of Hyperspectral Remote Sensing Estimation Models Based on Photosynthetic Characteristics of Winter Wheat Leaves[J]. Scientia Agricultura Sinica, 2019,52(4):616-628.
ASADZADEH S, DE SOUZA FILHO C R. A Review on Spectral Processing Methods for Geological Remote Sensing[J]. International Journal of Applied Earth Observation and Geoinformation, 2016, 47:69-90.
BISHOP C, RIVARD B, De Souza Filho C R, et al. Geological Remote Sensing[J]. International Journal of Applied Earth Observation and Geoinformation, 2018, 64:267-274.
CARRINO T A, CRÓSTA A P, TOLEDO C L B, et al. Hyperspectral Remote Sensing Applied to mineral Exploration in Southern Peru:A Multiple Data Integration Approach in the Chapi Chiara Gold Prospect[J]. International Journal of Applied Earth Observation and Geoinformation, 2018, 64:287-300.
CHANG, C I, PLAZA A. A Fast Iterative Algorithm for Implementation of Pixel Purity Index[J]. IEEE Geoscience and Remote Sensing Letters, 2006, 3(1):63-67.
DU Y Z, CHANG C I, REN H, et al. New Hyperspectral Discrimination Measure for Spectral Characterization[J]. Society of Photo-Optical Instrumentation Engineer, 2004, 43(8):1777-1786.
HECKER C, VAN DER MEIJDE M, VAN DER WERFF H, et al. Assessing the Influence of Reference Spectra on Synthetic SAM Classification Results[J]. IEEE Transactions on Geoscience and Remote Sensing, 2008, 46(12):4162-4172.
KRUSE F A, LEFKOFF A.B. Knowledge-Based Geologic Mapping with Imaging Spectrometers[J]. Remote Sensing Reviews, 1993, 8:3-28.
LIU L, FENG J L, RIVARD B, et al. Mapping Alteration Using Imagery from the Tiangong-1 Hyperspectral Spaceborne system:Example for the Jintanzi gold Province, China[J]. International Journal of Applied Earth Observation and Geoinformation, 2018, 64:275-286.
LIU W J, XIE W C, TONG H B, et al. Adaptive Coherence Estimator Based on the Krylov Subspace Technique For Airborne Radar[J]. Journal of Systems Engineering and Electronics, 2015, 26(4):705-712.
MARTINEZ P J, PEREZ R M, PLAZA A, et al. Endmember Extraction Algorithms from Hyperspectral Images[J]. Annals of Geophysics, 2006, 49(1):93-101.
SALLES R D R, DE SOUZA FILHO C R, CUDAHY T., et al. Hyperspectral Remote Sensing Applied to Uranium Exploration:A Case Study at the Mary Kathleen Metamorphic-hydrothermal U-REE Deposit, NW, Queensland, Australia[J]. Journal of Geochemicl Exploration, 2017, 179:36-50.
VAN DER MEER F D. The Effectiveness of Spectral Similarity Measures for the Analysis of Hyperspectral Imagery[J]. International Journal of Applied Earth Observation and Geoinformation, 2006, 8(1):3-17.
VAN DER MEER F D, VAN DER Werff H.M.A., VAN RUITENBEEK F.J.A., et al. Multi-and Hyperspectral Geological Remote Sensing:A Review[J]. International Journal of Applied Earth Observation and Geoformation, 2012, 14(1):112-128.
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