Hi all,

My name is Nancy. I am a dual degree Computer Science student at IIIT-H and 
pursuing Masters in the field of Spatial Informatics.

I have been an avid user of QGIS for the past year as my interests lies in it.I 
would like to introduce to you this project idea for GSoC 2015, in which I am 
interested. 

The idea of the project is Pan Sharpening in QGIS.The main idea of pan 
sharpening is to combine registered high spatial resolution panchromatic (pan) 
and lower spatial resolution multispectral imagery to synthesize higher 
resolution multispectral imagery.The degree of misregistration between bands 
and the correlation of intensity values are key factors in generating 
radiometrically accurate and visually crisp output images. 

There are many algorithm for Pan Sharpening :- 
1>Projective
2>Multiplicative
3>High Pass Filter
4>Hue, Saturation, Intensity

But I would like to work on Projective method as it provides better results in 
terms of preserving the color of the multispectral image. The other algorithms 
all cause a color shift of one type or another from the original multispectral 
image. 

There are two components to the projective pan sharpening algorithm. The first 
component determines the linear radiometric relationship between the pan and 
multispectral bands and the second processes pixels to produce the sharpened 
product.

Benefit of this project will be that by increasing the spatial resolution of 
the high spectral resolution multispectral image,many other image processing 
tasks which are performed on the multispectral image are enhanced.We will be 
able get clear boundaries for clear extraction of features from the image and 
better vectorisation.

We have this functionality in GRASS and other softwares so we are trying to 
implement it in QGIS.

Regards
Nancy
IIIT-Hyderabad.
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