Hi,
I am new to DL and I'm trying to classify 1 Landsat8 image into 3 categories using VGG-19. I am using 8 bands (B2 to B7 ,B10 and Panchromatic). I performed the sampling procedure and my samples are named "1_id_b2" (category_id sample_Landsat band). I have my training and test samples into separate folders. The folder structure is similar to the image attached (folder_str). I've read that I need to create training and test labels. I don't understand why to create the labels, because I already labeled my samples.
Dear Nikolaos Tziokas
These articles might be useful, have a look:
1. https://www.diva-portal.org/smash/get/diva2:1013270/FULLTEXT01.pdf
2. http://cs231n.stanford.edu/reports/2017/pdfs/908.pdf
3. https://machinelearningmastery.com/how-to-develop-a-convolutional-neural-network-to-classify-satellite-photos-of-the-amazon-rainforest/
4. http://www.cse.scu.edu/~mwang2/projects/Multi-labelsClassificationforSatelliteImages.pdf
5. https://towardsdatascience.com/understanding-the-amazon-rainforest-with-multi-label-classification-vgg-19-inceptionv3-5084544fb655
6. https://www.gsitechnology.com/Beginners-Guide-to-Segmentation-in-Satellite-Images
Kind Regards
Qamar Ul Islam
Dear Qamar Ul Islam, thanks for the fast prompt, it really helped me. I dl the data from Kagle, following this article (https://machinelearningmastery.com/how-to-develop-a-convolutional-neural-network-to-classify-satellite-photos-of-the-amazon-rainforest/), in order to see the labels. As I understand, I need to export the attribute table of my samples into .csv format. Many thanks.
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