Hello Vishnu,
I understand that you want to merge multiple ".mat" files of LiDAR data into a single file while maintaining consistent variables and appending data sequentially. Please refer to the below workflow to perform this task:
- Initialize Structures: Create empty cell arrays for "DataSource", "LabelDefinitions", "LabelData".
- Load and Append: Use a loop to load each MAT file one by one. For each file, extract "DataSource", "LabelDefinitions", "LabelData" and append these to the corresponding cell arrays.
- Concatenate: Ensure that you concatenate along the correct dimension (e.g., rows for 2D matrices) to avoid creating multi-dimensional arrays.
- Save New File: After processing all files, save the final structures or arrays into a new MAT file.
Please refer to the below code snippet that demonstrates the workflow:
% Initialize empty cell arrays
allDataSources = {};
allLabelDefs = {};
allLabelData = {};
% Loop through each .mat file
for i = 1:numFiles
data = load(sprintf('label_%d.mat', i)); % Load the .mat file
% Append data to cell arrays
allDataSources = [allDataSources; data.DataSource];
allLabelDefs = [allLabelDefs; data.LabelDefinitions];
allLabelData = [allLabelData; data.LabelData];
end
% Save the concatenated data into a new .mat file
save('mergedData.mat', 'allDataSources', 'allLabelDefs', 'allLabelData');
Please refer to this documentation to learn more about "sprintf" function: https://www.mathworks.com/help/matlab/ref/sprintf.html
Hope it helps!
