[DOI: 10.21982/44xt-n529] PyOSIF: Optical satellite imagery fusion based on multirresolution approaches
Gonzalo-Martin, Consuelo; Ji, Jiahao; Lillo-Saavedra, Mario; Garcia-Pedrero, Angel
PyOSIF provides a set of Jupiter Notebooks for Pansharpening and fusion of multispectral-multispectral imagery through multirresolution algorithms. In particular, three versions of the fusion based on the Wavelet à-trous Transform are included: the original algorithm, and two variants that allow the control of the spatial and spectral quality of the fused image. Other additional codes are included for resizing and downloading Google Earth Engine (GEE) Data Catalog imagery. The code allows you to use both GEE images and your own images.
Code Link: PyOSIF.zip
Code Size: 2929119 bytes
Code MD5 Checksum: bcd2bdd847adefa5dbddc0d699338122
Appears in:  Lillo-Saavedra, M., Gonzalo, C., “Spectral or spatial quality for fused satellite imagery? A trade-off solution using the wavelet à trous algorithm” International Journal of Remote Sensing, vol. 27, no. 7, pp. 1453–1464, Apr. 2006.
 Lillo-Saavedra, M.; Gonzalo, C.; Lagos, O. “Toward reduction of artifacts in fused images”. Int. J. Appl. Earth Obs. Geoinf. 2011, 13, 368–375.
See Also: https://github.com/JiahaoJZ/Image_fusion
Code Languages: Python
Sensor Categories: Optical Imager
Geophysical Model: Direct
Geophysical Categories: Land: Soil Moisture, Land: Land Cover/Land Use, Land: Crops, Land: Urban Map/Structures, Land: GIS, Land: Other
Keywords: Optical imagery, fusion, pansharpening, multirresolution, Python, GEE