Atmospheric Correction for Multispectral Satellite Imagery: An introductory review
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Resumen
La Percepción Remota proporciona información valiosa sobre objetos o áreas remotas, ya sea mediante sensores activos (p. ej., RADAR y LiDAR) o pasivos (p. ej., imágenes multiespectrales o hiperespectrales) a partir de imágenes satelitales. La calidad de las imágenes satelitales de teledetección se degrada con frecuencia por diversas razones, en particular la atmósfera terrestre. La corrección atmosférica (AC) de imágenes satelitales es un área de investigación activa en la comunidad de percepción remota; el objetivo de este método de pre-procesamiento es recuperar la reflectancia de la superficie (p. ej., tierra o agua) a partir de la radiancia en el satélite, generalmente obtenida como números binarios o digitales. Toda imagen tomada por sensores satelitales se ve afectada por efectos atmosféricos (p. ej., dispersión y absorción), por lo que es necesario compensar o tener en cuenta estos efectos para poder eliminarlos de la imagen antes de proceder a extraer características útiles de la propia imagen en una segunda etapa de extracción de características. Este artículo proporciona una revisión de algunos de los métodos de corrección atmosférica más utilizados actualmente disponibles, desde los más simples, como los métodos basados en imágenes, hasta los métodos de última generación, basados en modelos complejos de transferencia radiativa, descritos en la literatura para proporcionar un punto de entrada para ingenieros, profesionales e investigadores interesados en la percepción remota partir de imágenes satelitales.
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