Abstract
Worldview-3 satellite imagery provides panchromatic images with a high spatial resolution and visible near infrared (VNIR) and shortwave infrared (SWIR) bands with a low spatial resolution. These images can be used for various applications such as environmental analysis, urban monitoring and surveying for sustainability. In this study, mineral detection was performed using Worldview-3 satellite imagery. A pansharpening technique was applied to the spatial resolution of the panchromatic image to effectively utilize the VNIR and SWIR bands of Worldview-3 satellite imagery. The following representative similarity analysis techniques were implemented for the mineral detection: the spectral angle mapper (SAM), spectral information divergence (SID) and the normalized spectral similarity score (NS3). In addition, pixels that could be estimated to indicate minerals were calculated by applying an empirical threshold to each similarity analysis result. A majority voting technique was applied to the results of each similarity analysis and pixels estimated to indicate minerals were finally selected. The results of each similarity analysis were compared to evaluate the accuracy of the proposed methods. From that comparison, it could be confirmed that false negative and false positive rates decreased when the methods proposed in the present study were applied.
Highlights
As satellite sensor technology advances, the spatial resolution of satellite images is being continuously improved and satellite sensors capable of acquiring diverse spectral wavelength bands have been recently developed
The visible near infrared (VNIR) and shortwave infrared (SWIR) bands from Worldview-3 satellite imagery were used for mineral detection in this study
As part of our approach, the low-resolution VNIR and SWIR bands were converted to high-resolution bands through the GS2 method
Summary
As satellite sensor technology advances, the spatial resolution of satellite images is being continuously improved and satellite sensors capable of acquiring diverse spectral wavelength bands have been recently developed. Satellite sensors are able to provide satellite images with diverse spatial and spectral resolutions. These can be utilized in the field, for example, in national environmental analyses, urban monitoring, change detection and surveying for sustainability [1]. Worldview-3 satellite images provide panchromatic images, eight visible near infrared (VNIR) bands and eight shortwave infrared (SWIR) bands with spatial resolutions of 0.3 m, 1.2 m and 3.7 m, respectively, and are known to be effective for the analysis of the properties of artificial structures, minerals and rocks as VNIR and SWIR bands between the spectral wavelength bands of 400 and 2,400 nm are provided [2,3]. Chavez et al [5] developed the Brovey technique based on the ratio of the pixel value of the panchromatic band to the intensity of the image and Aiazzi et al [6]
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