کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
8868068 | 1621793 | 2018 | 9 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Regolith-geology mapping with support vector machine: A case study over weathered Ni-bearing peridotites, New Caledonia
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
علوم زمین و سیارات
کامپیوتر در علوم زمین
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![عکس صفحه اول مقاله: Regolith-geology mapping with support vector machine: A case study over weathered Ni-bearing peridotites, New Caledonia Regolith-geology mapping with support vector machine: A case study over weathered Ni-bearing peridotites, New Caledonia](/preview/png/8868068.png)
چکیده انگلیسی
Accurate maps of Earth's geology, especially its regolith, are required for managing the sustainable exploration and development of mineral resources. This paper shows how airborne imaging hyperspectral data collected over weathered peridotite rocks in vegetated, mountainous terrane in New Caledonia were processed using a combination of methods to generate a regolith-geology map that could be used for more efficiently targeting Ni exploration. The image processing combined two usual methods, which are spectral feature extraction and support vector machine (SVM). This rationale being the spectral features extraction can rapidly reduce data complexity by both targeting only the diagnostic mineral absorptions and masking those pixels complicated by vegetation, cloud and deep shade. SVM is a supervised classification method able to generate an optimal non-linear classifier with these features that generalises well even with limited training data. Key minerals targeted are serpentine, which is considered as an indicator for hydrolysed peridotitic rock, and iron oxy-hydroxides (hematite and goethite), which are considered as diagnostic of laterite development. The final classified regolith map was assessed against interpreted regolith field sites, which yielded approximately 70% similarity for all unit types, as well as against a regolith-geology map interpreted using traditional datasets (not hyperspectral imagery). Importantly, the hyperspectral derived mineral map provided much greater detail enabling a more precise understanding of the regolith-geological architecture where there are exposed soils and rocks.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: International Journal of Applied Earth Observation and Geoinformation - Volume 64, February 2018, Pages 377-385
Journal: International Journal of Applied Earth Observation and Geoinformation - Volume 64, February 2018, Pages 377-385
نویسندگان
Florian De Boissieu, Brice Sevin, Thomas Cudahy, Morgan Mangeas, Stéphane Chevrel, Cindy Ong, Andrew Rodger, Pierre Maurizot, Carsten Laukamp, Ian Lau, Touraivane Touraivane, Dominique Cluzel, Marc Despinoy,