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.
Google Scholar
|
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.
Google Scholar
|
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.
Google Scholar
|
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.
Google Scholar
|
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.
Google Scholar
|
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.
Google Scholar
|
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.
Google Scholar
|
HU Peng. Tectonomagmatic Evolution and Gold Metallogeny in South Beishan Mountain, Northwest China[D]. Beijing:Chinese Academy of Geological Sciences, 2007.
Google Scholar
|
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.
Google Scholar
|
HUANG Huaguo. Progress and Perspective of Quantitative Remote Sensing of Forestry[J]. Journal of Beijing Forestry University, 2019,41(12):1-14.
Google Scholar
|
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.
Google Scholar
|
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.
Google Scholar
|
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.
Google Scholar
|
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.
Google Scholar
|
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.
Google Scholar
|
ZHANG Liangpei. Advance and Future Challenges in Hyperspectral Target Detection[J]. Geomatics and Information Science of Wuhan University, 2014,39(12):1387-1400.
Google Scholar
|
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.
Google Scholar
|
ZHANG Xiubao, YUAN Yan, WANG Qian. Spectral Discrimination Method Based on Information Divergence of Gradient[J]. Acta Optica Sinica, 2011,31(5):244-248.
Google Scholar
|
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.
Google Scholar
|
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.
Google Scholar
|
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.
Google Scholar
|
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.
Google Scholar
|
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.
Google Scholar
|
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.
Google Scholar
|
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.
Google Scholar
|
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.
Google Scholar
|
KRUSE F A, LEFKOFF A.B. Knowledge-Based Geologic Mapping with Imaging Spectrometers[J]. Remote Sensing Reviews, 1993, 8:3-28.
Google Scholar
|
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.
Google Scholar
|
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.
Google Scholar
|
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.
Google Scholar
|
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.
Google Scholar
|
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.
Google Scholar
|
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.
Google Scholar
|