Planetary Mapping Using Deep Learning: A Method to Evaluate Feature Identification Confidence Applied to Habitats in Mars-Analog Terrain.

Phillips, Michael S; Moersch, Jeffrey E; Cabrol, Nathalie A; Candela, Alberto; Wettergreen, David; Warren-Rhodes, Kimberly; Hinman, Nancy W

Phillips, Michael S; Moersch, Jeffrey E; Cabrol, Nathalie A; Candela, Alberto; Wettergreen, David; Warren-Rhodes, Kimberly; Hinman, Nancy W.

Afiliação

Phillips MS; Johns Hopkins University Applied Physics Laboratory, Laurel, Maryland, USA.
Moersch JE; Department of Earth and Planetary Sciences, The University of Tennessee, Knoxville, Tennessee, USA.
Cabrol NA; SETI Institute/NASA Ames Research Center, Moffett Field, California, USA.
Candela A; The Robotics Institute, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA.
Wettergreen D; The Robotics Institute, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA.
Warren-Rhodes K; SETI Institute/NASA Ames Research Center, Moffett Field, California, USA.
Hinman NW; Department of Geosciences, University of Montana, Missoula, Montana, USA.

Astrobiology ; 23(1): 76-93, 2023 01.

Article em En | MEDLINE | ID: mdl-36520604

Assuntos

Aprendizado Profundo; Marte; Humanos; Meio Ambiente Extraterreno; Exobiologia/métodos; Ecossistema

Palavras-chave

Confidence Score; Deep Learning; Habitat. Astrobiology 23, 7693; Mars analog; Threshold of identification

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Marte / Aprendizado Profundo Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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