Several widely used methods have been proposed for fusing high resolution panchromatic data and lower resolution multi-channel data. However, many of these methods fail to maintain the spectral consistency of the fused high resolution image, which is of high importance to many of the applications based on satellite data. Additionally, most conventional methods are loosely connected to the image forming physics of the satellite image, giving these methods an ad hoc feel. Vesteinsson et al.  proposed a method of fusion of satellite images that is based on the properties of imaging physics in a statistically meaningful way and was called spectral consistent panshapening (SCP). In this paper we improve this framework for satellite image fusion by introducing a better image prior, via data-dependent image smoothing. The dependency is obtained via total variation edge detection method.
|Title of host publication||IEEE Geoscience and Remote Sensing Symposium, 2007. IGARSS '07|
|Publication status||Published - 2007|
|Event||2007 IEEE International Geoscience and Remote Sensing Symposium - Barcelona, Spain|
Duration: 23 Jul 2007 → 28 Jul 2007
|Conference||2007 IEEE International Geoscience and Remote Sensing Symposium|
|Period||23/07/2007 → 28/07/2007|