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Pansharpening techniques can be divided into component substitution (CS) and multi-resolution analysis (MRA) based methods. Generally, the CS methods result in fused images having high spatial quality but the fused images suffer from spectral distortions. On the other hand, images obtained using MRA techniques are not as sharp as CS methods but they are spectrally consistent. Both substitution and...
Images with high spatial and spectral resolutions are desirable for remote sensing applications. Unfortunately, due to sensor physical constraints, this result cannot be obtained by a single sensor. To overcome these limitations, a great number of data fusion approaches have been developed in the last years. The fusion of panchromatic and multispectral images, also known as Pansharpening, is capturing...
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