该数据集包含21类卫星图像,例如建筑物,棒球场,高速公路等。图像的原始大小为256x256像素。最初,每个班级有100张图像。在将每个图像放大4倍后,每个类的大小将增加到500张图像。这允许制作更健壮的模型。
Land-Use Scene Classification_datasets.txt
Readme.txt
test.csv
train.csv
validation.csv
Land-Use Scene Classification_images_train_test_val_datasets.zip
Land-Use Scene Classification_images_datasets.zip
This contribution to the useR! series by Springer is designed to show newcomers
how to do functional data analysis in the two popular languages, Matlab and R. We
hope that this book will substantially reduce the time and effort required to use these
techniques to gain valuable insights in a wide variety of applications.