Chinese Gaofen-5 (GF-5) satellite is the world's first full-spectrum hyperspectral satellite to achieve comprehensive observations of the atmosphere and land. The Advanced Hyperspectral Imager (AHSI) carried by GF-5 can acquire 330- chanel imagery covering 390~2500 nm. However, the application of GF-5 AHSI imagery in uranium exploration is currently less. In this paper, the AHSI imagery was used for prospecting uranium mineralization in the Weijing, Inner Mongolia, China. The matched filter (MF) and threshold segmentation were used for mapping goethite, Al-high, Al- medium and Al-poor sericite. And the principal component analysis (PCA) and gray-level co-occurrence matrix (GLCM) were used to extract the texture information of the study area. Subsequently, combined with geological information, the relationship between alteration information, texture complexity and uranium mineralization was discussed, and it was pointed out that goethite, Al-medium, Al-poor , and Al-high sericite and texture complexity in this area can be used as indicators of uranium mineralization. Finally, two prospects were delineated, which will guide the follow-up uranium exploration in this area and promote the application of GF-5 AHSI data.
In order to study the alteration extraction method and effect of GF-5 Visual and infrared spectral imager (VIMS), this image was used as the data source. On the basis of analyzing the spectral characteristics of typical altered minerals, the principal component analysis (PCA) method was used to extract iron-stained and hydroxyl alteration, and the results were compared with those from Landsat 5 TM image. The results show that: the alteration information extracted from VIMS image is consistent with the alteration extracted from TM image, and it is more accurate; the quality of VIMS image is worse than that of TM image, which affects the result of alteration extraction. Therefore, attention should be paid to the selection of VIMS image in practical application.
Erennaoer Sag is an important sandstone-type uranium orefield in Erlian Basin. In order to study the characteristics of the structures and the recharge-runoff-discharge groundwater system in Erennaoer Sag, remote sensing technology was applied to extract remote sensing geological information such as structural, the indices of brightness, greenness and wetness. Combined with geological data, the recharge-runoff-discharge groundwater system of Errennaoer Sag is divided, and two structural discharge zones are identified. According to the analysis of spatial distribution characteristics of interpreted structures and regional uranium deposits, it is found that uranium mineralization in Erennaoer Sag is closely related to the NNE structures of remote sensing interpretation. It is concluded that the remote sensing interpreted tectonic zone is a tectono-geochemical variation zone, which is closely related to uranium mineralization, and the superimposed reconstruction of multiple tectonic activities is an important factor for the formation of the uranium deposits in Erennaoer Sag.
In order to study the tectonic characteristics and its relationship with uranium mineralization in Weijing area of Inner Mongolia, the remote sensing technique and visual interpretation are applied to interpret the linear structures in Weijing area with GF-2 remote sensing data, based on the atmospheric correction and another preprocessing. The distribution regularities of linear structures can be got from the field geological examination and the available geological data. The results indicates that the intersecting areas of NE-NEE trending structure F12 and NNE trending structure F11 with EW or NW trending structures are the favorable uranium metallogenic regions. The NE-NEE trending structure F12 and NNE trending structure F11 are the most important ore-controlling structures in the area.
To promote uranium exploration in Chaganhada and provide remote sensing alteration anomaly information, this paper extracted chlorite alteration and iron-strained alteration by principal component analysis on the basis of analysis of wall rocks related to uranium mineralization and spectral characteristics of the typical alteration minerals in WorldView-3(shorthand for WV-3 in the following) bands. Then, the alteration information extracted was made processing on the ArcGIS platform, and an integrated anomalous information figure was compiled. The results of field verification show that the alteration anomaly information which extracted from WV-3 data is consistent with the reality. And the alteration anomaly information should be taken as one of the important clues in the uranium exploration in this area.
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