Applications and challenges of hyperspectral remote sensing in the Colombian geology/Aplicaciones y retos del sensado remoto hiperespectral en la geologia colombiana/Aplicacoes e desafios do sensoriamento remoto hiperespectral na geologia colombiana

Remote Sensing (RS) is a data acquisition technique that requires no physical contact with the scene, through the use of sensors on aerial platforms. These sensors capture information in the electromagnetic spectrum different ranges, including the visible ones (VIS), the near infrared (NIR) and shor...

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Published inRevista FI-UPTC Vol. 24; no. 40; p. 17
Main Authors Camacho-Velasco, Ariolfo, Vargas-Garcia, Cesar Augusto, Rojas-Morales, Fernando Antonio, Castillo-Castelblanco, Sergio Fernando, Arguello-Fuentes, Henry
Format Journal Article
LanguageSpanish
Published Universidad Pedagogica y Tecnologica de Colombia. Facultad de Ingenieria 01.09.2015
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Summary:Remote Sensing (RS) is a data acquisition technique that requires no physical contact with the scene, through the use of sensors on aerial platforms. These sensors capture information in the electromagnetic spectrum different ranges, including the visible ones (VIS), the near infrared (NIR) and short wave range infrared (SWIR). Taking into account that each material present in a scene has different spectral characteristics, it is possible to analyze the spectral signatures and to use their identification and/or classification algorithms. Hyperspectral Image (HSI) remotely sensed in hundreds of spectral bands. HSI is important in different areas such as geology, mineralogy, agronomy, geography, environment, among others. However, the high volume of literature spread into different lines (RS, HSI and geology) makes it difficult to access and analyze it.
ISSN:0121-1129