Topographic Correction for Hyperspectral Imagery
Date Issued
2015
Date
2015
Author(s)
Wei, Chang
Abstract
In most of the applications, the spectral radiance stored in the hyperspectral image has to be calibrated into the spectral reflectance previously through the radiance correction. We have already had many models to deal with radiance correction, however, most of them assume that the surface is horizontal and has a Lambertian reflectance. The reason may be that the real hyperspectral data typical do not have the enough surface information for topographic correction. Nowadays, there are various way to acquire the spatial information about the earth surface precisely, which provides an opportunity to enrich the descriptions of topography in correction models. Among the researches about interaction between topography and reflectance spectrum, the bidirectional reflectance distribution function (BRDF) is the most general mathematic model. The propose of this research aim at using the topographic data, likes digital elevation model (DEM), digital surface model (DSM) and point cloud data, to promote the description of topography in the correction model and offer exploratory discussion of topographic correction of the hyperspectral images. According to this, this study will correct the topography effect of the real high resolution hyperspectral images, using DEM, DSM and point cloud as topographic data, testing the correction model built in this research.
Subjects
hyperspectral imagery
topographic information
Type
thesis
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