Disaggregation of image with auxillary image data

Hello,

I have a Land surface temperature (LST) image of coarse spatial resolution (pixel size=1km) and I want to perform a disaggregation in order to enhance the spatial resolution with auxillary data (image of albedo (30m), NDVI (30m)). I tried to look for an algorithm in order to perform that but unfortunately I couldn't find any path to start that.

Best regards,

[Benjamin Thompson]

Can you upload the image or a small example along with more information about what output you want from "disaggregation"? What is the definition of "disaggregation"?

[YEMY]

Disaggregation has many definitions, in my situation, it is a method used to enhance the spatial resolution of an image. I have an original image of LST (Land Surface Temperature) with a pixel size of 1000 m, and I have auxillary data NDVI (30 m) and Albedo (30m). The auxilary data should have been correlated (negatively or positively) with the data that we want to enhance its resolution in order to perform a disaggregation. There are many methods that can be used such (DisTrad ), (TsHARP ) or even (MLR: MultiLinear Regeression). The problem is that I could not find a good detailed documents about these methods in order to start with the processing.

[Image Analyst]

Well if you can't find the description of those methods then we certainly can't. I've never even heard of them before. Do you just want to upsample your low res image so that it has as many pixels are your high res image?

[YEMY]

Hello, yes, this is more or less my aim, the only problem that I might face is that, the pixel values must be correlated btween the target image and the auxillary image ( not all of them obviously), but in the end an upsampling method can be helpful as a first try.