María González-Audícana

TL;DR: New fusion alternatives based on the same concept are presented, using the multiresolution wavelet decomposition to execute the detail extraction phase and the intensity-hue-saturation (IHS) and principal component analysis (PCA) procedures to inject the spatial detail of the panchromatic image into the multispectral one.

TL;DR: A study of the accuracy of five supervised classification methods using multispectral and pan-sharpened QuickBird imagery to verify whether remote sensing offers the ability to efficiently identify crops and agro-environmental measures in a typical agricultural Mediterranean area characterized by dry conditions.

TL;DR: This paper presents a low computational-cost image fusion method based on the fast IHS transform, which uses the information of the spectral response functions of the low-resolution multispectral (LRM) and high-resolution panchromatic (HRP) sensors to minimize the spectral distortion problem.

TL;DR: In this article, a multi-criteria analysis of widely used topographic correction methods is required that evaluates their performance over different sensors, terrain and temporal configurations, and different evaluation criteria have been used in the past, and there is not any simple and objective evaluation procedure to measure the quality of the correction.

TL;DR: Results show that both field scale roughness spatial variability and its temporal variations are aspects that need to be taken into account, since they can introduce large errors on the retrieved soil moisture values.