Image Segmentation for Hydrothermal Alteration Mapping Using PCA and Concentration–Area Fractal Model

Shahriari, Hadi; Ranjbar, Hojjatollah; Honarmand, Mehdi

doi:10.1007/s11053-013-9211-y

Cited by 68 publications

(34 citation statements)

References 71 publications

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“…Pre-processing stage was applied using crosstalk correction using the crosstalk correction software (CCS), atmospheric correction using fast lineof-sight atmospheric analysis of spectral hypercubes (FLAASH) software and modification of unusually low reflectance for ASTER band 5 [2], [6], [17], [18]. The images were georeferenced to Universal Transverse Mercator (UTM) zone 40 North projection with the World Geodetic System 1984 (WGS-84) as datum, using ground control points from Google Earth® high resolution images.…”

Section: Sattelite Images and Image Processing Methodsmentioning

confidence: 99%

Application of Airborne Geophysical and ASTER Data for Hydrothermal Alteration Mapping in the Sar-Kuh Porphyry Copper Area, Kerman Province, Iran

Honarmand¹

2016

OJG

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Known deposits are appropriate sites for investigating significant exploratory keys that could be helpful in mineral exploration in corresponding regions or similar areas. This study was performed to delineate hydrothermal alteration model and some geophysical characteristics of the SarKuh porphyry copper deposit located within the southern part of the central Iranian Cenozoic magmatic belt (CICMB). Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) images have been used to produce hydrothermal alteration map using a fractal-aided spectral angle mapper (SAM) method. Airborne data were used to study magnetic-radiometric properties of the deposit. Image processing of ASTER images and laboratory studies proved the presence of two types of phyllic ale ration called intense and weak phyllic based on abundance of sericite mineral. It realized that radiometric anomalies of 40 K, eTh and eU are limited to boundary of phyllic zone. Radiometric ratios e.g. eTh/ 40 K were good enough to enhance phyllic zone.

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Section: Sattelite Images and Image Processing Methodsmentioning

confidence: 99%

Application of Airborne Geophysical and ASTER Data for Hydrothermal Alteration Mapping in the Sar-Kuh Porphyry Copper Area, Kerman Province, Iran

Honarmand¹

2016

OJG

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“…Previous studies proposed that the C-A fractal model could be combined with the Crosta technique to map ferric iron alteration [31][32][33]. However, this method may be compromised by the red color of potash-feldspar granitic rocks, which causes high reflectance values in band 3 and low values in band 1 that are similar to those of ferric-iron-bearing minerals.…”

Section: Advantages Of the Methodsmentioning

confidence: 99%

“…The SAM algorithm calculates the spectral similarity between the image and reference spectra by treating them as vectors in n-dimensional space and computing the corresponding angle between them [32]. The result is not affected by solar illumination factors because the angle between the two vectors is independent of vector length [32].…”

Section: Spectral Angle Mappermentioning

confidence: 99%

“…The result is not affected by solar illumination factors because the angle between the two vectors is independent of vector length [32]. In this study, we use the cosine value of the spectral angle to represent the degree of similarity between the image and reference spectra.…”

Section: Spectral Angle Mappermentioning

confidence: 99%

“…The concentration-area (C-A) fractal model proposed by Cheng et al (1994) [21] can be used to compute quantitative geochemical and geophysical anomaly thresholds, and it has been widely used in geological, geochemical, and geophysical exploration [22][23][24][25][26][27][28][29][30][31][32]. Combining the C-A fractal model with the Crosta technique has been shown to be effective in identifying alteration zones in the Hashtjin area (Iran) [33], which suggests that the C-A fractal model is also useful for remote sensing studies.…”

Section: Introductionmentioning

confidence: 99%

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Integration of Concentration-Area Fractal Modeling and Spectral Angle Mapper for Ferric Iron Alteration Mapping and Uranium Exploration in the Xiemisitan Area, NW China

Qiu

Zhang

Hu³

2015

Remote Sensing

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Abstract:The high-grade uranium deposits in the Xiemisitan area, northwestern China, are genetically associated with the faulting of felsic volcanic or sub-volcanic rocks. Ferric iron alteration indicates that oxidizing hydrothermal fluids percolated through the rocks. In this study, we measured the gamma-ray intensities of rocks in the Xiemisitan area and we propose a hybrid method for the mapping of ferric iron alteration using concentration-area fractal modeling and spectral angle mapper. The method enables ferric iron alteration to be distinguished from potash-feldspar granitic rocks. The mapping results were integrated with structural data to assist with exploration for uranium in the study area. Using this approach, six prospective areas of mineralization were proposed. Of these areas, two anomalies with high gamma-ray intensities of 104 and 650 Uγ were identified and verified by field inspection. These observations suggest that Enhanced Thematic Mapper Plus images are a valuable tool that can improve the efficiency of uranium exploration.

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A new method for extraction of alteration information using the Landsat 8 imagery in a heavily vegetated and sediments‐covered region: A case study from Zhejiang Province, E. China

Han

Zhao

et al. 2017

Geological Journal

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Ore prediction based on the Operational Land Imager (ETM+) image within the heavily vegetated and sediments‐covered areas is always a difficulty for geological remote sensing. Here, we report a new scheme for extraction of near‐ore alteration information in such localities: Terrain Analysis → principal component analysis →Fractal → Spatial Overlay and the Fe3+–OH− integrated anomalies that are punctate and probably ore‐caused were reasonably exposed. Findings showed a satisfactory result that the spatial, if not genetic, dependency relationship between the remotely sensed anomalies and geochemical anomalies, as well as the ore‐controlling geological bodies, is significant. However, no substantial spectral anomalies of vegetation immediately responsible for local mineralization and alteration were detected. This study may have contributed a useful case study for in‐depth remote sensing exploration.

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Image Segmentation for Hydrothermal Alteration Mapping Using PCA and Concentration–Area Fractal Model

Cited by 68 publications

References 71 publications

Application of Airborne Geophysical and ASTER Data for Hydrothermal Alteration Mapping in the Sar-Kuh Porphyry Copper Area, Kerman Province, Iran

Application of Airborne Geophysical and ASTER Data for Hydrothermal Alteration Mapping in the Sar-Kuh Porphyry Copper Area, Kerman Province, Iran

Integration of Concentration-Area Fractal Modeling and Spectral Angle Mapper for Ferric Iron Alteration Mapping and Uranium Exploration in the Xiemisitan Area, NW China

A new method for extraction of alteration information using the Landsat 8 imagery in a heavily vegetated and sediments‐covered region: A case study from Zhejiang Province, E. China

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