Multispectral Remote Sensing Satellite Data for Mineral and Hydrocarbon Exploration: Big Data Processing and Deep Fusion Learning Techniques

• その他の著者: Pour, Amin Beiranvand (編集者), Rahmani, Omeid (編集者), Parsa, Mohammad (編集者)
• フォーマット: 電子媒体 図書の章
• 言語: 英語
• 出版事項: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
• 主題: Research & information: general; Environmental economics; multispectral satellite data; PALSAR; gold exploration; Wadi Hodein shear belt; transpressional deformation; gold-bearing quartz veins; resources characterization; bauxite residues; band ratio; kriging of component; mineral grade; ASTER; chromite; Khoy ophiolite; spectral angle mapper (SAM); principal component analysis (PCA); porphyry copper deposits; machine learning; DP; SVM; SAM; zonality method; remote sensing; vertical zonality index; geological layer; alteration; K-nearest neighbor; porphyry-Cu deposit; magnetic method; gravity method; magmatic intrusion; hydrothermal fluid; Lower Benue Trough; southeast Nigeria; aeromagnetic; Bornu Basin; Precambrian; basement depth; fault system analysis; massive sulfide copper exploration; airborne geophysical analysis; Fry analysis; multifractal technique; high latitudes; weak information; thermal anomalies; radioactive element deposits; Kroh shale; aromatic hydrocarbons; spectroscopy; humic acid; organic carbon; mineral exploration; OLI; Sentinel-2; GIS; Khnaiguiyah; Saudi Arabia; mineral prospectivity mapping; random forest; gold mineralization; Sudan; n/a
• オンライン･アクセス: DOAB: download the publication; DOAB: description of the publication