@article{fdi:010071320,
  title = {{R}egolith-geology mapping with support vector machine : a case study over weathered {N}i-bearing peridotites, {N}ew {C}aledonia},
  author = {{B}oissieu, {F}lorian de and {S}evin, {B}. and {C}udahy, {T}. and {M}angeas, {M}organ and {C}hevrel, {S}. and {O}ng, {C}. and {R}odger, {A}. and {M}aurizot, {P}. and {L}aukamp, {C}. and {L}au, {I}. and {T}ouraivane, {T}. and {C}luzel, {D}. and {D}espinoy, {M}arc},
  editor = {},
  language = {{ENG}},
  abstract = {{A}ccurate maps of {E}arth's geology, especially its regolith, are required for managing the sustainable exploration and development of mineral resources. {T}his paper shows how airborne imaging hyperspectral data collected over weathered peridotite rocks in vegetated, mountainous terrane in {N}ew {C}aledonia were processed using a combination of methods to generate a regolith-geology map that could be used for more efficiently targeting {N}i exploration. {T}he image processing combined two usual methods, which are spectral feature extraction and support vector machine ({SVM}). {T}his 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. {K}ey 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. {T}he 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). {I}mportantly, 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.},
  keywords = {{H}yperspectral ; {S}pectroscopy ; {R}ecognition ; {C}lassification ; {S}upport vector machine ; {M}ineralogy ; {G}eology ; {I}ron oxide ; {S}erpentine ; {M}apping ; {NOUVELLE} {CALEDONIE}},
  booktitle = {},
  journal = {{I}nternational {J}ournal of {A}pplied {E}arth {O}bservation and {G}eoinformation},
  volume = {64},
  numero = {},
  pages = {377--385},
  ISSN = {0303-2434},
  year = {2018},
  DOI = {10.1016/j.jag.2017.05.012},
  URL = {https://www.documentation.ird.fr/hor/fdi:010071320},
}