a r t i c l e i n f o The focus of the current study is to compare data fusion methods applied to sensors with medium-and high-spatial resolutions. Two documented methods are applied, the spatial and temporal adaptive reflectance fusion model (STARFM) and an unmixing-based method which proposes a Bayesian formulation to incorporate prior spectral information. Furthermore, the strengths of both ...

0018-9251/99/$10.00 @ 1999 IEEE Remotely sensed images have been used in a broad range of applications ranging from geology, agriculture, and global change detection to defense and law enforcement [ 11. They are generally acquired by multiple-band sensors operated from either a spaceborne or an airborne platform. Examples include satellite multispectral sensors such as Landsat 7-band Thematic M...

MORE than two decades after the first efforts toward the application of spectral mixture analysis techniques to remotely sensed data [1], [2], effective spectral unmixing still remains an elusive exploitation goal. Regardless of the available spatial resolution, the spectral signals collected in natural environments are invariably a mixture of the signatures of the various materials found withi...

Multiplex immunohistochemistry (IHC) staining is a newly emerging technique for the detection of multiple biomarkers within a single tissue section and has become more popular due to its significant efficiency and the rich diagnostic information it contains. Therefore, to accurately unmix the IHC image and differentiate all the stains is of tremendous clinical importance since it is the initial...

In the last decade, the issue of endmember variability has received considerable attention, particularly when each pixel is modeled as a linear combination of endmembers or pure materials. As a result, several models and algorithms have been developed for considering the effect of endmember variability in spectral unmixing and possibly include multiple endmembers in the spectral unmixing stage....

Hyperspectral imaging instruments are capable of collecting hundreds of images, corresponding to different wavelength channels, for the same area on the surface of the Earth. One of the main problems in the analysis of hyperspectral data cubes is the presence of mixed pixels, which arise when the spatial resolution of the sensor is not enough to separate spectrally distinct materials. Hyperspec...

Unlike conventional sensor systems such as Landsat-TM, Spot-MX or IRS-LISS, which acquire data in only a few spectral bands, the development of scanner systems that acquire data in many narrow-wavelength bands allows the use of almost continuous reflectance data in studies of the Earth’s surface. This not only produces laboratory-like reflectance spectra with absorption bands specific to object...