Hi Abdul,
I understand the difficulty you are facing with the “imfuse” function since it alters the temperature values by converting the data type to “uint8”.
Please refer to the workaround given below, to preserve the original data while combining the datasets:
1. Instead of using the “imfuse” function, the matrices can be manually combined to preserve the data type. This can be done by calculating the necessary offsets based on GPS data and creating a composite image matrix large enough to hold both datasets.
% Calculate offset in pixels
offset_x = round(Ds1 / pixelsize1w);
offset_y = round(Ds1 / pixelsize1h);
% Create a composite image
composite_size_x = max(size(data1, 1), size(data2, 1) + offset_x);
composite_size_y = max(size(data1, 2), size(data2, 2) + offset_y);
composite_image = NaN(composite_size_x, composite_size_y);
2. Then the heat data from both images can be inserted into this composite matrix.
% Insert data1 into composite image
composite_image(1:size(data1, 1), 1:size(data1, 2)) = data1;
% Insert data2 into composite image
composite_image(offset_x + (1:size(data2, 1)), offset_y + (1:size(data2, 2))) = data2;
3. The “imagesc” function can be used to display the composite heatmap, with a colorbar for reference.
figure;
imagesc(composite_image);
colorbar;
title('Composite Heatmap');
Refer to the output for better understanding:
For more information, kindly refer to the documentation links below:
- “round” function: https://www.mathworks.com/help/matlab/ref/round.html
- “imagesc” function: https://www.mathworks.com/help/matlab/ref/imagesc.html
Happy Coding!
