2011
DOI: 10.1016/j.pss.2011.02.007
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Automated identification of basalt spectra in Clementine lunar data

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Cited by 3 publications
(4 citation statements)
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References 14 publications
(21 reference statements)
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“…3). Previous studies proposed that the solar incidence angles can affect small craters' detection and measurement (Ostrach et al 2011;Antonenko et al 2013). To examine this, we compared numerous NAC images of the same area taken with different incidence angles.…”
Section: The Identification Of Dark-haloed Cratersmentioning
confidence: 99%
“…3). Previous studies proposed that the solar incidence angles can affect small craters' detection and measurement (Ostrach et al 2011;Antonenko et al 2013). To examine this, we compared numerous NAC images of the same area taken with different incidence angles.…”
Section: The Identification Of Dark-haloed Cratersmentioning
confidence: 99%
“…A. Giguere et al, , 2006Hawke et al, 2005). From these criteria, a higher iron content ejecta has been proposed as the most robust identifier of DHCs (Antonenko, 2013).…”
Section: Previously Proposed Cryptomaria Distributionmentioning
confidence: 99%
“…DHCs are traditionally identified by having a darker ejecta pattern than the surrounding terrain, however, previous work has also used the maturity of the soils, the iron content of the ejecta, the symmetry of their halo, and the presence of melts as identifiers (Bell & Hawke, 1984; T. A. Giguere et al., 2003, 2006; Hawke et al., 2005). From these criteria, a higher iron content ejecta has been proposed as the most robust identifier of DHCs (Antonenko, 2013). Because of the different and somewhat incompatible criteria used to identify DHCs, different data sets of DHCs exist and the compilation of these data sets into a global one is challenging.…”
Section: Introductionmentioning
confidence: 99%
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