Applications and challenges of hyperspectral remote sensing in the colombian geology
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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| Format: | Online |
| Language: | spa |
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Universidad Pedagógica y Tecnológica de Colombia
2015
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| Online Access: | https://revistas.uptc.edu.co/index.php/ingenieria/article/view/3845 |
| _version_ | 1801706070837559296 |
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| author | Camacho-Velasco, Ariolfo Vargas-García, Cesar Augusto Rojas-Morales, Fernando Antonio Castillo-Castelblanco, Sergio Fernando Arguello-Fuentes, Henry |
| author_facet | Camacho-Velasco, Ariolfo Vargas-García, Cesar Augusto Rojas-Morales, Fernando Antonio Castillo-Castelblanco, Sergio Fernando Arguello-Fuentes, Henry |
| author_sort | Camacho-Velasco, Ariolfo |
| collection | OJS |
| description | 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.This paper presents a summary of concepts, principles, and mathematical foundations, including RS research and trends, highlighting its development and challenges in Colombia, and a HSI case use in the Colombian geology, which shows the detection capability of the Hyperion hyperspectral sensor, located in the EQ-1 Satellite for geological mapping, in a test site, at the Girón town northwest of the Santander, Colombia. The results of these evaluations are correlated with the geological information obtained by analysis of X-ray diffraction (XRD), performed on the samples taken from the studied area. |
| format | Online |
| id | oai:oai.revistas.uptc.edu.co:article-3845 |
| institution | Revista Facultad de Ingeniería |
| language | spa |
| publishDate | 2015 |
| publisher | Universidad Pedagógica y Tecnológica de Colombia |
| record_format | ojs |
| spelling | oai:oai.revistas.uptc.edu.co:article-38452018-11-21T00:47:20Z Applications and challenges of hyperspectral remote sensing in the colombian geology Aplicaciones y retos del sensado remoto hiperespectral en la geología colombiana Camacho-Velasco, Ariolfo Vargas-García, Cesar Augusto Rojas-Morales, Fernando Antonio Castillo-Castelblanco, Sergio Fernando Arguello-Fuentes, Henry remote sensing hyperspectral imaging spectral signature geology target detection algorithms Sensado Remoto Imágenes Hiperespectrales Firma espectral Geología Algoritmos de Detección de Objetivos. 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.This paper presents a summary of concepts, principles, and mathematical foundations, including RS research and trends, highlighting its development and challenges in Colombia, and a HSI case use in the Colombian geology, which shows the detection capability of the Hyperion hyperspectral sensor, located in the EQ-1 Satellite for geological mapping, in a test site, at the Girón town northwest of the Santander, Colombia. The results of these evaluations are correlated with the geological information obtained by analysis of X-ray diffraction (XRD), performed on the samples taken from the studied area. El Sensado Remoto (SR) es una técnica que permite captar información de una escena sin entrar en contacto físico con ella, mediante el empleo de sensores ubicados, principalmente, en plataformas aéreas, los cuales captan información en diferentes rangos del espectro electromagnético, incluyendo el visible (VIS), el cercano al infrarrojo (NIR) y el de ondas cortas del infrarrojo (SWIR). Teniendo en cuenta que cada material presente en una escena tiene características espectrales diferentes, es posible, a través del análisis de las firmas espectrales, realizar su identificación o clasificación mediante algoritmos. Las Imágenes Hiperespectrales (HSI) captadas por sensores remotos en cientos de bandas espectrales son de importancia en áreas como la geología, la mineralogía, la agronomía y la ecología, entre otras, sin embargo, el gran volumen de literatura dispersa en diferentes líneas (SR, HSI y geología) dificulta su acceso y análisis. Este trabajo presenta un compendio de conceptos, principios básicos y fundamentos matemáticos del SR, e incluye investigaciones y tendencias de él, destacando su desarrollo y sus retos en Colombia, y un caso de uso de HSI en la geología colombiana, cuyas evaluaciones muestran la capacidad de detección del sensor hiperespectral Hyperion, ubicado en el satélite EO-1, para el mapeo geológico en un sitio de prueba al noroccidente del municipio de Girón, departamento de Santander. Los resultados de las evaluaciones son satisfactorios, espectralmente, el coeficiente de correlación fue alto y la relación espacial entre la firma espectral obtenida y la geología conocida del área fue aceptable y correspondió al análisis de Difracción de Rayos X (DRX) realizado a muestras tomadas del área de estudio. Universidad Pedagógica y Tecnológica de Colombia 2015-09-10 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion investigation application/pdf text/html https://revistas.uptc.edu.co/index.php/ingenieria/article/view/3845 10.19053/01211129.3845 Revista Facultad de Ingeniería; Vol. 24 No. 40 (2015); 17-29 Revista Facultad de Ingeniería; Vol. 24 Núm. 40 (2015); 17-29 2357-5328 0121-1129 spa https://revistas.uptc.edu.co/index.php/ingenieria/article/view/3845/3450 https://revistas.uptc.edu.co/index.php/ingenieria/article/view/3845/4333 |
| spellingShingle | remote sensing hyperspectral imaging spectral signature geology target detection algorithms Sensado Remoto Imágenes Hiperespectrales Firma espectral Geología Algoritmos de Detección de Objetivos. Camacho-Velasco, Ariolfo Vargas-García, Cesar Augusto Rojas-Morales, Fernando Antonio Castillo-Castelblanco, Sergio Fernando Arguello-Fuentes, Henry Applications and challenges of hyperspectral remote sensing in the colombian geology |
| title | Applications and challenges of hyperspectral remote sensing in the colombian geology |
| title_alt | Aplicaciones y retos del sensado remoto hiperespectral en la geología colombiana |
| title_full | Applications and challenges of hyperspectral remote sensing in the colombian geology |
| title_fullStr | Applications and challenges of hyperspectral remote sensing in the colombian geology |
| title_full_unstemmed | Applications and challenges of hyperspectral remote sensing in the colombian geology |
| title_short | Applications and challenges of hyperspectral remote sensing in the colombian geology |
| title_sort | applications and challenges of hyperspectral remote sensing in the colombian geology |
| topic | remote sensing hyperspectral imaging spectral signature geology target detection algorithms Sensado Remoto Imágenes Hiperespectrales Firma espectral Geología Algoritmos de Detección de Objetivos. |
| topic_facet | remote sensing hyperspectral imaging spectral signature geology target detection algorithms Sensado Remoto Imágenes Hiperespectrales Firma espectral Geología Algoritmos de Detección de Objetivos. |
| url | https://revistas.uptc.edu.co/index.php/ingenieria/article/view/3845 |
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