resampling DEM using imresize in a for loop = cell array?

3 次查看（过去 30 天）
Sam
Sam 2013-5-2
I have a replicated, 20 'layer' DEM datacube 2380x1707x20 and want to iteratively decrease the grid resolution of each layer, while passing all outputs into a single object. It's a scaling exercise to compare resampling with smoothing.
imresize() function works well for decreasing the grid rez, and because each for loop output contains different dims I assume passing them into a single cell array is the way to go. But my approach and/or notation is off... help?
%%RESAMPLE DEM OBJECT
rast
n = 1:1:20;
for i=1:n
out{i} = imresize(rast(:,:,i), 1/i, 'Method', 'box');
end
Cell contents assignment to a non-cell array object.

请先登录，再回答此问题。

采纳的回答

Sean de Wolski
Sean de Wolski 2013-5-2
What is out before the loop starts?
You should preallocate it as a cell:
out = cell(3,1);
for ii = 1:3
out{ii} = imresize(rand(randi(100)),0.25);
end
  1 个评论
Sam
Sam 2013-5-3
Thanks, Sean. Another for the karma bank.
out = cell(size((rast),3),1);
for i=1:size((rast),3)
out{i} = imresize(rast(:,:,i), 1/i, 'Method', 'box');
end

请先登录，再进行评论。

更多回答（0 个）

类别

在 Help Center 和 File Exchange 中查找有关 Loops and Conditional Statements 的更多信息

标签

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by