0zgur0/multi-stage-convstar-network

[RSE 2021] Crop mapping from image time series: deep learning with multi-scale label hierarchies

multi-stage-convstar-network's Issues

The problem about ZueriCrop dataset

We are very interested in this dataset but have some confusion for this dataset.
In this paper, I learned that the input image sizes are H = W = 24, B = 4 and sequence length is T = 71. But the size of "data" in the dataset is (27977,142,24,24,9). I am very confused about the time dimension (Second dimension). Why is not72 but is 142.

We look forward to your reply.

52 Classes instead of 48

Hello. When I generate the data using your data loader, the label is indexed from 0 to 51, which is different from what has been mentioned in your paper. I investigated your code and I realized that the labels 0, 47, 25, and 35 belong to "0_unkown", "Waters", "Non agriculture", and "Special cultures" respectively. These classes are not among those 48 classes in the paper. To my understanding, to obtain the 48 classes mentioned in the paper, I should remove the labels 0, 47, 25, and 35 (and their corresponding pixels) from the data. Am I correct? Could you please confirm that?

Spectral Bands order

Hello. What is the order of the spectral bands in your data if I want to use all 9 bands? Could you please tell me each of the 9 channels (bands) you have in your data corresponds to which spectral bands? For instance, the fourth channel corresponds to NIR? SWIR?....