A New Threshold Relative Radiometric Correction Algorithm (TRRCA) of Multiband Satellite Data
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2017-06-21Resumen
It is well known that remote sensed scenes could be affected by many factors and, for optimum change detection, these unwanted
effects must be removed. In this study a new algorithm is proposed for PIF (Pseudo Invariant Features) extraction and relative radiometric
normalization. The new algorithm can be labeled as a supervised one and combines three methods for the detection of PIFs: Moment distance index (MDI), Normalized Difference Vegetation Index (NDVI) masks morphological erosion and dilate operators. In order to prove its effectiveness, the algorithm was tested by using Landsat 8 scenes of the “Mar de Plstico” landscape of the Andalusian Almer´ıa. Many tests were performed in order to provide a set of valid input parameters for the chosen environments. Lastly, the results were statistically assessed with parametric and non-parametric tests showing very good and stable results in the four different study areas
Palabra/s clave
Relative radiometric normalization
PIF
Multispectral imagery
Landsat 8
Change detectio