Title :
A pansharpening algorithm based on genetic optimization of Morphological Filters
Author :
Addesso, Paolo ; Conte, Roberto ; Longo, Maurizio ; Restaino, Rocco ; Vivone, Gemine
Author_Institution :
Dept. of Electron. & Comput. Eng., Univ. of Salerno, Fisciano, Italy
Abstract :
Pansharpening algorithms aim to enhance low resolution multi-spectral images by means of high resolution panchromatic ones. Several approaches are based on the MultiResolution Analysis (MRA) achieved through the pyramidal decomposition of images. We focus here on the implementation based on Morphological Filters (MF) that are optimized through Genetic Algorithms (GA). The effectiveness of this algorithm is compared with other techniques, among which those based on Wavelet operators, through several quality indices on two different real scenarios.
Keywords :
filters; genetic algorithms; geophysical image processing; image enhancement; image resolution; wavelet transforms; MRA; genetic algorithms; genetic optimization; high resolution panchromatic images; low resolution multispectral image enhancement; morphological filters; multiresolution analysis; pansharpening algorithm; pyramidal image decomposition; quality indices; wavelet operators; Algorithm design and analysis; Discrete wavelet transforms; Genetic algorithms; Image resolution; Indexes; Sensors; Data Fusion; Genetic Algorithms; Morphological Filtering; Pansherpening;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
DOI :
10.1109/IGARSS.2012.6352376
