Sola Torralba, IonÁlvarez-Mozos, JesúsGonzález de Audícana Amenábar, MaríaTorres Escribano, José Luis2019-02-062019-02-062012I. Sola, I. Sola, M. González de Audícana, M. González de Audícana, J. Álvarez-Mozos, J. Álvarez-Mozos, J. L. Torres, J. L. Torres, "Multitemporal evaluation of topographic correction algorithms using synthetic images", Proc. SPIE 8537, Image and Signal Processing for Remote Sensing XVIII, 853706 (8 November 2012); doi: 10.1117/12.974535; https://doi.org/10.1117/12.9745350277-786X (Print)10.1117/12.974535https://academica-e.unavarra.es/handle/2454/32130Land cover classification and quantitative analysis of multispectral data in mountainous regions is considerably hampered by the influence of topography on the spectral response pattern. In the last years, different topographic correction (TOC) algorithms have been proposed to correct illumination differences between sunny and shaded areas observed by optical remote sensors. Although the available number of TOC methods is high, the evaluation of their performance usually relies on the existence of precise land cover information, and a standardised and objective evaluation procedure has not been proposed yet. Besides, previous TOC assessment studies only considered a limited set of illumination conditions, normally assuming favourable illumination conditions. This paper presents a multitemporal evaluation of TOC methods based on synthetically generated images in order to evaluate the influence of solar angles on the performance of TOC methods. These synthetic images represent the radiance an optical sensor would receive under specific geometric and temporal acquisition conditions and assuming a certain land-cover type. A method for creating synthetic images using state-of-the-art irradiance models has been tested for different periods of the year, which entails a variety of solar angles. Considering the real topography of a specific area a Synthetic Real image (SR) is obtained, and considering the relief of this area as being completely flat a Synthetic Horizontal image (SH) is obtained. The comparison between corrected image obtained applying a TOC method to SR image and SH image of the same area, i.e. considered the ideal correction, allows assessing the performance of each TOC algorithm.11 p.application/pdfeng© (2012) Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this publication for a fee or for commercial purposes, or modification of the contents of the publication are prohibited.Synthetic imageTopographic normalizationMultitemporal evaluationSSIMTOCDEMContribución a congreso / Biltzarrerako ekarpenaAcceso abierto / Sarbide irekiainfo:eu-repo/semantics/openAccess