Application of directed principal component analysis method in extraction of clay minerals from Landsat 8 multispectral image

https://tapchi.humg.edu.vn/en/archives?article=1044
  • Affiliations:

    1 Bộ môn Trắc địa Bản đồ, Học viện Kỹ thuật Quân sự, Việt Nam;
    2 Khoa Trắc địa, Bản đồ và Thông tin địa lý, Trường Đại học Tài nguyên và Môi trường, Việt Nam

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  • Received: 9th-Aug-2019
  • Revised: 25th-Sept-2019
  • Accepted: 31st-Oct-2019
  • Online: 31st-Oct-2019
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Abstract:

Interpretation and detection of mineral objects on satellite images is a complex issue and is interested by scientists. Researches in the world and in Vietnam have used image processing techniques such as image ratio, color combination, principal component analysis,... to enhance information of some minerals such as iron oxide, clay on optical satellite imagery. However, these techniques are only suitable for specific area and difficult to apply effectively to regions with tropical climatic conditions such as Vietnam. This paper presents the results of applying the Directed principal component analysis (DPCA) method in extracting clay mineral deposit areas in Vinh Phuc province from Landsat 8 satellite images. Based on the combination of ratio images and PCA, the DPCA method allows taking advantage of the advantages of the above two methods in identifying mineral deposits. The results in this research can be used to provide input information for mineral investigation and discovery.

How to Cite
Nguyen, T.Sach, Trinh, H.Le and Do, D.Van 2019. Application of directed principal component analysis method in extraction of clay minerals from Landsat 8 multispectral image (in Vietnamese). Journal of Mining and Earth Sciences. 60, 5 (Oct, 2019).

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