A quantitative method to evaluate the performance of topographic correction models used to improve land cover identification

摘要: Abstract Topographic correction methods have been widely used prior to land cover identification in sloping terrain because the topographic variation on Earth's surface can interfere with classifications. The involves normalization of brightness or reflectance values from slanted horizontal plane. Several models proposed, and a quantitative evaluation method is needed for these performance vary according types spectral bands. In this study, we proposed an efficient evaluate through measuring histogram structural similarity (HSSIM) index estimated sunlit sun-shaded slope areas before after correction. We tested HSSIM by using three different derived Landsat-8 Operational Land Imager (OLI) images eight commonly models. When was compared visual analysis technique, results matched exactly. Using index, best were then determined, ones included statistical-empirical SCS+C (where refers sun-canopy-sensor plus C-correction) R, G, B bands Minnaert+SCS NIR, SWIR-1, SWIR-2 These indicate that (i) enables evaluations (ii) be determine particular applications.