HYDROXYL AND IRON-STAINED ALTERATION INFORMATION EXTRACTION AND METALLOGENIC PREDICTION BASED ON MEDIUM-HIGH-RESOLUTION REMOTE SENSING IMAGES: A Case Study of Six Map Sheets in Jilin City

CAO Hui; ZHANG Ting-xiu; LI Yu-ke; HAN Ke-yin; WEN Qiu-yuan; Wang Hai-ying

doi:10.13686/j.cnki.dzyzy.2021.06.010

2021 Vol. 30, No. 6

Article Contents

Article navigation > Geology and Resources > 2021 > 30(6): 710-715, 706

Next Article Previous Article

CAO Hui, ZHANG Ting-xiu, LI Yu-ke, HAN Ke-yin, WEN Qiu-yuan, Wang Hai-ying. HYDROXYL AND IRON-STAINED ALTERATION INFORMATION EXTRACTION AND METALLOGENIC PREDICTION BASED ON MEDIUM-HIGH-RESOLUTION REMOTE SENSING IMAGES: A Case Study of Six Map Sheets in Jilin City[J]. Geology and Resources, 2021, 30(6): 710-715, 706. doi: 10.13686/j.cnki.dzyzy.2021.06.010

Citation:

CAO Hui, ZHANG Ting-xiu, LI Yu-ke, HAN Ke-yin, WEN Qiu-yuan, Wang Hai-ying. HYDROXYL AND IRON-STAINED ALTERATION INFORMATION EXTRACTION AND METALLOGENIC PREDICTION BASED ON MEDIUM-HIGH-RESOLUTION REMOTE SENSING IMAGES: A Case Study of Six Map Sheets in Jilin City[J]. Geology and Resources, 2021, 30(6): 710-715, 706. doi: 10.13686/j.cnki.dzyzy.2021.06.010

HYDROXYL AND IRON-STAINED ALTERATION INFORMATION EXTRACTION AND METALLOGENIC PREDICTION BASED ON MEDIUM-HIGH-RESOLUTION REMOTE SENSING IMAGES: A Case Study of Six Map Sheets in Jilin City

1.
Mudanjiang Centre of Natural Resources Comprehensive Survey, CGS, Mudanjiang 157021, Heilongjiang Province, China
2.
Jilin Institute of Geological Survey, Changchun 130021, China
3.
Beipiao Natural Resources Bureau, Beipiao 122100, Liaoning Province, China

Received Date: 31 December 2020

Revised Date: 26 January 2021

Publish Date: 30 December 2021

Abstract

Abstract

Based on the Landsat 8 and SPOT-6 remote sensing (RS) data, combined with the RS image features and 1:50 000 geographical base map of the study area, the visual interpretation is used to interpret the strata, linear structure and ring structure. The ratio-principal component analysis is adopted to extract the hydroxyl and iron-stained alteration information. Through comprehensive analysis of RS-interpreted fault structure, ring structure and altered mineralization information, the favorable ore-forming sites are delineated from the perspective of remote sensing for reference in field prospecting.
- Landsat 8 data /
- SPOT-6 data /
- alteration information /
- metallogenic prediction /
- remote sensing interpretation

FullText(HTML)

References

[1]	田淑芳, 詹骞. 遥感地质学[M]. 2版. 北京: 地质出版社, 2013: 2-3. Google Scholar Tian S F, Zhan Q. Remote sensing geology[M]. 2nd ed. Beijing: Geological Publishing House, 2013: 2-3. Google Scholar
[2]	罗真富, 谢洪斌, 吴国代, 等. 重庆巫山地区遥感地质解译及蚀变信息提取[J]. 河南理工大学学报(自然科学版), 2014, 33(4): 447-452. doi: 10.3969/j.issn.1673-9787.2014.04.009 CrossRef Google Scholar Luo Z F, Xie H B, Wu G D, et al. Information extraction of remote-sensing geological interpretation and alteration in Wushan and Chongqing[J]. Journal of Henan Polytechnic University (Natural Science), 2014, 33(4): 447-452. doi: 10.3969/j.issn.1673-9787.2014.04.009 CrossRef Google Scholar
[3]	李宗仁, 张焜, 李晓民, 等. 遥感线性构造特征分析与找矿预测[J]. 遥感信息, 2016, 31(3): 115-121. doi: 10.3969/j.issn.1000-3177.2016.03.018 CrossRef Google Scholar Li Z R, Zhang K, Li X M, et al. Analysis of linear structural characteristics of remote sensing and prediction of ore finding[J]. Remote Sensing Information, 2016, 31(3): 115-121. doi: 10.3969/j.issn.1000-3177.2016.03.018 CrossRef Google Scholar
[4]	龙晓君, 何政伟, 刘严松, 等. 西藏羌多地区遥感蚀变与构造信息提取及成矿预测[J]. 国土资源遥感, 2010(2): 63-67, 72. Google Scholar Long X J, He Z W, Liu Y S, et al. Extraction of the remote sensing alteration and structure information and metallogenic prognosis in Qiangduo area, Tibet[J]. Remote Sensing for Land & Resources, 2010(2): 63-67, 72. Google Scholar
[5]	谢明辉, 张奇, 陈圣波, 等. 基于特征导向主成分分析遥感蚀变异常提取方法[J]. 地球科学——中国地质大学学报, 2015, 40(8): 1381-1385. Google Scholar Xie M H, Zhang Q, Chen S B, et al. Extraction of alteration anomaly information by feature-based principal component analysis from aster data[J]. Earth Science-Journal of China University of Geosciences, 2015, 40(8): 1381-1385. Google Scholar
[6]	冯雨林, 时建民, 杨利军. ETM+遥感影像矿化蚀变信息的提取与找矿实践[J]. 地质与资源, 2008, 17(1): 69-72. doi: 10.3969/j.issn.1671-1947.2008.01.014 CrossRef Google Scholar Feng Y L, Shi J M, Yang L J. Extraction of the mineralization and alteration information from ETM+ remote sensing image: The practice in exploration[J]. Geology and Resources, 2008, 17(1): 69-72. doi: 10.3969/j.issn.1671-1947.2008.01.014 CrossRef Google Scholar
[7]	邓婕, 白亚辉, 吕凤军. 比值法遥感蚀变信息提取及阈值确定[J]. 地质学刊, 2017, 41(3): 504-510. Google Scholar Deng J, Bai Y H, Lyu F J. Remote sensing alteration information extraction and threshold determination by band ratio method[J]. Journal of Geology, 2017, 41(3): 504-510. Google Scholar
[8]	韩海辉, 王艺霖, 张转, 等. 东昆仑浅覆盖区遥感蚀变异常提取与分析[J]. 遥感信息, 2018, 33(4): 72-79. doi: 10.3969/j.issn.1000-3177.2018.04.011 CrossRef Google Scholar Han H H, Wang Y L, Zhang Z, et al. Extraction and analysis of remote sensing alteration anomaly at shallow loess covering area in East Kunlun[J]. Remote Sensing Information, 2018, 33(4): 72-79. doi: 10.3969/j.issn.1000-3177.2018.04.011 CrossRef Google Scholar
[9]	江山, 张渝金, 汪岩, 等. 基于Landsat8 OLI数据的遥感蚀变异常提取应用研究——以内蒙古阿鲁科尔沁旗地区为例[J]. 地质与资源, 2018, 27(1): 93-98. doi: 10.3969/j.issn.1671-1947.2018.01.013 CrossRef Google Scholar Jiang S, Zhang Y J, Wang Y, et al. Application of alteration anomaly extraction by remote sensing based on landsat8 OLI data: a case study of Ar Horqin Qi, Inner Mongolia[J]. Geology and Resources, 2018, 27(1): 93-98. doi: 10.3969/j.issn.1671-1947.2018.01.013 CrossRef Google Scholar
[10]	王烜, 雷广新, 江洋. 基于主成分分析法对遥感蚀变异常提取——以内蒙古伊和诺尔地区1: 5万矿调为例[J]. 地质与资源, 2014, 23(S1): 122-128. Google Scholar Wang X, Lei G X, Jiang Y. Extraction of alteration anomalies from remote sensing data based on principal component analysis: A case study of the 1: 50000 mineral geological survey in Yihenuoer area, Inner Mongolia[J]. Geology and Resources, 2014, 23(S1): 122-128. Google Scholar
[11]	王晓志, 李雪菲, 张乐彤, 等. 吉林山门Ag-Au-Ni找矿远景区遥感地质特征及矿产预测[J]. 地质与资源, 2014, 23(1): 57-61. doi: 10.3969/j.issn.1671-1947.2014.01.008 CrossRef Google Scholar Wang X Z, Li X F, Zhang L T, et al. Geological characteristics and mineral prediction by remote sensing of the Shanmen Ag-Au-Ni prospecting area in Jilin Province[J]. Geology and Resources, 2014, 23(1): 57-61 doi: 10.3969/j.issn.1671-1947.2014.01.008 CrossRef Google Scholar
[12]	刘颖璠, 陈建平, 郝俊峰, 等. 内蒙古朱拉扎嘎地区成矿遥感信息提取及成矿预测研究[J]. 中国地质, 2012, 39(4): 1062-1068. doi: 10.3969/j.issn.1000-3657.2012.04.022 CrossRef Google Scholar Liu Y F, Chen J P, Hao J F, et al. Researches on metallogenic remote sensing information extraction and metallogenic prediction in Zhulazhaga area of Inner Mongolia[J]. Geology in China, 2012, 39(4): 1062-1068. doi: 10.3969/j.issn.1000-3657.2012.04.022 CrossRef Google Scholar
[13]	王大鹏, 李林川, 鲍东明, 等. 遥感在辽宁丹东地区1: 5万区域地质调查中的应用[J]. 地质与资源, 2014, 23(2): 184-187. doi: 10.3969/j.issn.1671-1947.2014.02.018 CrossRef Google Scholar Wang D P, Li L C, Bao D M, et al. Application of RS in the 1: 50000 regional geological survey of Dandong area, Liaoning Province[J]. Geology and Resources, 2014, 23(2): 184-187. doi: 10.3969/j.issn.1671-1947.2014.02.018 CrossRef Google Scholar
[14]	周灵洁, 张正伟, 程远, 等. 西昆仑北部地区铅锌铜矿带遥感构造蚀变信息提取与成矿预测[J]. 大地构造与成矿学, 2011, 35(4): 603-611. doi: 10.3969/j.issn.1001-1552.2011.04.014 CrossRef Google Scholar Zhou L J, Zhang Z W, Cheng Y, et al. The comprehensive interpretation of remote sensing information and prospecting for the Pb-Zn-Cu ore belts in the northern part of West Kunlun Orogen[J]. Geotectonica et Metallogenia, 2011, 35(4): 603-611. doi: 10.3969/j.issn.1001-1552.2011.04.014 CrossRef Google Scholar
[15]	王彪, 陈利燕, 王核, 等. 遥感蚀变信息定量提取方法在成矿预测中的应用——以西昆仑塔什库尔干地区为例[J]. 大地构造与成矿学, 2011, 35(3): 372-377. doi: 10.3969/j.issn.1001-1552.2011.03.006 CrossRef Google Scholar Wang B, Chen L Y, Wang H, et al. Ore prospecting for the Taxkorgan area of West Kunlun using quantitative extraction of mineralized alteration information[J]. Geotectonica et Metallogenia, 2011, 35(3): 372-377. doi: 10.3969/j.issn.1001-1552.2011.03.006 CrossRef Google Scholar
[16]	吴一全, 盛东慧, 周杨. PCA和布谷鸟算法优化SVM的遥感矿化蚀变信息提取[J]. 遥感学报, 2018, 22(5): 810-821. Google Scholar Wu Y Q, Sheng D H, Zhou Y. Remote sensing mineralization alteration information extraction based on PCA and SVM optimized by cuckoo algorithm[J]. Journal of Remote Sensing, 2018, 22(5): 810-821. Google Scholar
[17]	罗一英, 高光明, 于信芳, 等. 基于ETM+的几内亚铝土矿蚀变信息提取方法研究[J]. 遥感技术与应用, 2013, 28(2): 330-337. Google Scholar Luo Y Y, Gao G M, Yu X F, et al. A study on extraction of bauxite alteration information of guinea based on ETM+ remote sensing data[J]. Remote Sensing Technology and Application, 2013, 28(2): 330-337. Google Scholar
[18]	李淼淼, 邢立新, 潘军, 等. 组合分析蚀变信息提取方法研究[J]. 遥感技术与应用, 2011, 26(3): 303-308 Google Scholar Li M M, Xing L X, Pan J, et al. Research of combinatory analysis method in altered information extraction[J]. Remote Sensing Technology and Application, 2011, 26(3): 303-308 Google Scholar
[19]	赵慧童, 王萍. 中高分辨率遥感数据铁染信息提取及找矿预测[J]. 遥感信息, 2017, 32(6): 96-102. doi: 10.3969/j.issn.1000-3177.2017.06.016 CrossRef Google Scholar Zhao H T, Wang P. Extraction of iron stained information and ore-prospecting prediction of medium-high resolution remote sensing data[J]. Remote Sensing Information, 2017, 32(6): 96-102. doi: 10.3969/j.issn.1000-3177.2017.06.016 CrossRef Google Scholar
[20]	赵仕宝, 蔡进. 基于PCA方法的Aster遥感影像矿化蚀变信息提取应用研究[J]. 世界有色金属, 2020(10): 186-189. doi: 10.3969/j.issn.1002-5065.2020.10.088 CrossRef Google Scholar Zhao S B, Cai J. Application research on mineralization and alteration information extraction of aster remote sensing image based on PCA method[J]. World Nonferrous Metals, 2020(10): 186-189. doi: 10.3969/j.issn.1002-5065.2020.10.088 CrossRef Google Scholar
[21]	李志忠, 穆华一, 刘德长, 等. "遥感先行"服务自然资源调查技术变革与调整[J]. 地质与资源, 2021, 30(2): 153-160. Google Scholar Li Z Z, Mu H Y, Liu D C, et al. Remote sensing first: Service for the technological revolution and innovation in natural resources survey[J]. Geology and Resources, 2021, 30(2): 153-160. Google Scholar