• Title/Summary/Keyword: 광물탐지

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Evaluation of SWIR bands utilization of Worldview-3 satellite imagery for mineral detection (광물탐지를 위한 Worldview-3 위성영상의 SWIR 밴드 활용성 평가)

  • Kim, Sungbo;Park, Honglyun
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.39 no.3
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    • pp.203-209
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    • 2021
  • With the recent development of satellite sensor technology, high-spatial-resolution imagery of various spectral wavelength bands have become possible. Worldview-3 satellite sensor provides panchromatic images with high-spatial-resolution and VNIR (Visible Near InfraRed) and SWIR (ShortWave InfraRed) bands with low-spatial-resolution, so it can be used in various fields such as defense, environment, and surveying. In this study, mineral detection was performed using Worldview-3 satellite imagery. In order to effectively utilize the VNIR and SWIR bands of the Worldview-3 satellite image, the sharpening technique was applied to the spatial resolution of the panchromatic image. To confirm the utility of SWIR bands for mineral detection, mineral detection using only VNIR bands was performed and comparatively evaluated. As the mineral detection technique, SAM (Spectral Angle Mapper), a representative similarity technique, was applied, and the pixels detected as minerals were selected by applying an empirical threshold to the analysis result. Quantitative evaluation was performed using reference data on the results of similarity analysis to evaluate the accuracy of mineral detection. As a result of the accuracy evaluation, the detection rate and false detection rate of mineral detecting using SWIR bands were calculated to be 0.882 and 0.011, respectively, and the results using only VNIR bands were 0.891 and 0.037, respectively. It was found that the detection rate when the SWIR bands were additionally used was lower than that when only the VNIR bands were used. However, it was found that the false detection rate was significantly reduced, and through this, it was possible to confirm the applicability of SWIR bands in mineral detection.

Detection of Titanium bearing Myeonsan Formation in the Joseon Supergroup based on Spectral Analysis and Machine Learning Techniques (분광분석과 기계학습기법을 활용한 조선누층군 타이타늄 함유 면산층 탐지)

  • Park, Chanhyeok;Yu, Jaehyung;Oh, Min-Kyu;Lee, Gilljae;Lee, Giyeon
    • Economic and Environmental Geology
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    • v.55 no.2
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    • pp.197-207
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    • 2022
  • This study investigated spectroscopic exploration of Myeonsan formation, the titanium(Ti) ore hostrock, in Joseon supergroup based on machine learning technique. The mineral composition, Ti concentration, spectral characteristics of Myeonsan and non-Myeonsan formation of Joseon supergroup were analyzed. The Myeonsan formation contains relatively larger quantity of opaque minerals along with quartz and clay minerals. The PXRF analysis revealed that the Ti concentration of Myeosan formation is at least 10 times larger than the other formations with bi-modal distribution. The bi-modal concentration is caused by high Ti concentrated sandy layer and relatively lower Ti concentrated muddy layer. The spectral characteristics of Myeonsan formation is manifested by Fe oxides at near infrared and clay minerals at shortwave infrared bands. The Ti exploration is expected to be more effective on detection of hostrock rather than Ti ore because ilmenite does not have characteristic spectral features. The random-forest machine learning classification detected the Myeonsan fomation at 85% accuracy with overall accuracy of 97%, where spectral features of iron oxides and clay minerals played an important role. It indicates that spectral analysis can detect the Ti host rock effectively, and can contribute for UAV based remote sensing for Ti exploration.

The Investigation of Mineral Distribution at Spirit Rover Landing Site: Gusev Crater by CRISM Hyperspectral data and Target Detection Algorithm (CRISM 초분광 영상과 표적 탐지 알고리즘을 이용한 Spirit 로버 탐사 지역: Gusev Crater의 광물 분포 조사)

  • Baik, Hyun-Seob;Kim, Kwang-Eun
    • Korean Journal of Remote Sensing
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    • v.32 no.5
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    • pp.403-412
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    • 2016
  • Compact Reconnaissance Imaging Spectrometer for Mars(CRISM) is 489-band hyperspectral camera of Mars Reconnaissance Orbiter(MRO) that provided data used on many mineral researches over Martian surface. For the detection of minerals in planet, mineral index using a few spectral bands have been used. In this study, we applied Matched Filter and Adaptive Cosine Estimator(ACE) target detection algorithm on CRISM data over Gusev Crater: landing site of Spirit(Mars Exploration Rover A) to investigate its mineral distribution. As a result, olivine, pyroxene, magnetite, etc. is detected at Gusev Crater's Columbia Hills. These results are corresponding to the Spirit rover's field survey result. It is expected that hyperspectral target detection algorithms can be used as effective and easy to use method for the detection and mapping of surface minerals in planet.

Enhancement of Physical Modeling System for Underwater Moving Object Detection (이동하는 수중 물체 탐지를 위한 축소모형실험 시스템 개선)

  • Kim, Yesol;Lee, Hyosun;Cho, Sung-Ho;Jung, Hyun-Key
    • Geophysics and Geophysical Exploration
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    • v.22 no.2
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    • pp.72-79
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    • 2019
  • Underwater object detection method adopting electrical resistivity technique was proposed recently, and the need of advanced data processing algorithm development counteracting various marine environmental conditions was required. In this paper, we present an improved water tank experiment system and its operation results, which can provide efficient test and verification. The main features of the system are as follows: 1) All the processes enabling real time process for not only simultaneous gathering of object images but also the electrical field measurement and visualization are carried out at 5 Hz refresh rates. 2) Data acquisition and processing for two detection lines are performed in real time to distinguish the moving direction of a target object. 3) Playback and retest functions for the saved data are equipped. 4) Through the monitoring screen, the movement of the target object and the measurement status of two detection lines can be intuitively identified. We confirmed that the enhanced physical modeling system works properly and facilitates efficient experiments.

Ferromagnetic Target Detection in the Ocean Using Drone-based Magnetic Anomaly Detection (드론 기반 자기 이상 탐지를 이용한 해양에서의 강자성 표적 탐지)

  • Sinhyuk Yim;Dongkyu Kim;Jihun Yoon;Eunseok Bang;Seokmin Oh;Bona Kim;Kyumin Shim;Sangkyung Lee
    • Journal of the Korea Institute of Military Science and Technology
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    • v.27 no.3
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    • pp.338-345
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    • 2024
  • Magnetic anomaly signals from the ferromagnetic targets such as ships in the sea are measured by drone-based magnetic anomaly detection. A quantum magnetometer is suspended from the drone by 4 strings. Flight altitude and speed of drone are 100 m and 5 m/s, respectively. We obtain magnetic anomaly signals of few nT from the ships clearly. We analyze the signal characteristics by the ferromagnetic target through simulation using COMSOL multiphysics.

Laboratory study on the electrical resistivity characteristics using an artificial agar specimen with clay minerals (점토광물을 함유하는 한천인공시료를 이용한 전기비저항 특성에 관한 실험적 연구)

  • Park, Mi-Kyung;Park, Sam-Gyu;Kim, Hee-Joon
    • 한국지구물리탐사학회:학술대회논문집
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    • 2005.05a
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    • pp.65-70
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    • 2005
  • A low resistivity zone is found in many places such as a fractured fault zone, weathered zone and aquifer. The electrical resistivity is influenced mainly by pore fluid as well as the clay mineral types and contents, Hence, it is very important to understand the relationship between the electrical resistivity and clay contents associated with the low resistivity zone for geotechnical applications such as civil engineering. This study examines the characteristics of clay mineral types and contents to electrical resistivity through sample measurements, and proposes an expression relating the resistivity and clay content. The electrical resistivity is measured for an artificial agar specimen with clay minerals instead of a natural rock. The clay minerals used are Kaolinite and Montmorillonite. Montmorillonite shows remarkably lower resistivity than Kaolinite, although its clay content is fewer than that of Kaolinite. Also, the proposed expression shows a good correlation coefficient as high as 0.89 or more in all clay minerals.

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Hyperspectral Target Detection by Iterative Error Analysis based Spectral Unmixing (Iterative Error Analysis 기반 분광혼합분석에 의한 초분광 영상의 표적물질 탐지 기법)

  • Kim, Kwang-Eun
    • Korean Journal of Remote Sensing
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    • v.33 no.5_1
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    • pp.547-557
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    • 2017
  • In this paper, a new spectral unmixing based target detection algorithm is proposed which adopted Iterative Error Analysis as a tool for extraction of background endmembers by using the target spectrum to be detected as initial endmember. In the presented method, the number of background endmembers is automatically decided during the IEA by stopping the iteration when the maximum change in abundance of the target is less than a given threshold value. The proposed algorithm does not have the dependence on the selection of image endmembers in the model-based approaches such as Orthogonal Subspace Projection and the target influence on the background statistics in the stochastic approaches such as Matched Filter. The experimental result with hyperspectral image data where various real and simulated targets are implanted shows that the proposed method is very effective for the detection of both rare and non-rare targets. It is expected that the proposed method can be effectively used for mineral detection and mapping as well as target object detection.

Drone based Magnetic Anomaly Detection to detect Ferromagnetic Target (강자성 표적 탐지를 위한 드론 기반 자기 이상 탐지)

  • Sin Hyuk Yim;Dongkyu Kim;Ji Hun Yoon;Bona Kim;Eun Seok Bang;Kyu Min Shim;Sangkyung Lee;Jong-shick Oh
    • Journal of the Korea Institute of Military Science and Technology
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    • v.26 no.4
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    • pp.335-343
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    • 2023
  • Drone based Magnetic Anomaly Detection measure a magnetic anomaly signal from the ferromagnetic target on the ground. We conduct a magnetic anomaly detection with 9 ferromagnetic targets on the ground. By removing the magnetic field measured in the absence of ferromagnetic targets from the experimental value, the magnetic anomaly signal is clearly measured at an altitude of 100 m. We analyze the signal characteristics by the ferromagnetic target through simulation using COMSOL multiphysics. The simulation results are within the GPS error range of the experimental results.

Geophysical Logging of Frequency-domain Induced Polarization for Mineral Exploration (광물탐사를 위한 진동수영역 유도분극 물리검층)

  • Shin, Seungwook
    • Geophysics and Geophysical Exploration
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    • v.24 no.3
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    • pp.73-77
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    • 2021
  • Induced polarization (IP) is useful for mineral exploration and hydrogeological studies by visualizing the electrochemical reactions at the interface between polarized minerals and groundwater. Frequency-domain IP (FDIP) is not actively applied to field surveys because it takes longer to acquire data, despite its higher data quality than conventional time-domain IP. However, data quality is more important in current mineral exploration as the targets gradually shift to deep or low-grade ore bodies. In addition, the measurement time reduced by automated instrumentation increases the potential for FDIP field applications. Therefore, we demonstrate that FDIP can detect mineral exploration targets by performing geophysical logging in the boreholes of a skarn deposit, in South Korea. Alternating current (AC) resistivity, percent frequency effect (PFE) and metal factor (MF) were calculated from impedance values obtained at two different frequencies. Skarn zones containing magnetite or pyrite showed relatively low AC resistivity, high PFE, and high MF compared to other zones. Therefore, FDIP surveys are considered to be useful for mineral exploration.

Spectroscopy of Skarn Minerals in Dangdu Pb-Zn Deposit and Assessment of Skarn Exploration Approaches Employing Portable Spectrometer (당두 연-아연 광상의 스카른 광물의 분광학적 특성과 휴대용 분광계의 스카른 탐사 가능성에 대한 고찰)

  • Jeong, Yong Sik;Yu, Jaehyung;Koh, Sang-Mo;Heo, Chul-Ho
    • Journal of the Mineralogical Society of Korea
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    • v.27 no.3
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    • pp.135-147
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    • 2014
  • This study analyzed spectroscopic methods for characterization of skarn minerals and sphalerite occurring in Dangdu ore deposit, and effectiveness of portable spectrometer in skarn mineral resources exploration is discussed. The spectroscopic analyses identified clinopyroxene, garnet, epidote, calcite, chlorite and sphalerite where spectral curves of clinopyroxene, garnet, epidote, and sphalerite show single mineral spectral characteristics and those of chlorite are in a mixed form with calcite and clinopyroxene. The assessment of spectroscopic analyses based on XRD analysis and microscopic observation reveals that clinopyroxene, garnet, epidote correspond well with more than 80% of detection, but sphalerite, chlorite, and calcite showed below 50% of detection rate. It is expected that skarn deposit exploration using a portable spectrometer is more effective in detection of clinopyroxene, garnet, and epidote whereas spectroscopic data of sphalerite, chlorite, and calcite needs to be utilized as a supplementary data. For the effective detection of chlorite and calcite, their content in the samples needs to be sufficient.