🛰️🌍 Geospatial Datasets
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A curated collections of diverse geospatial and satellite imagery datasets.
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The RSSCN7 dataset is designed for scene classification tasks and provides a collection of high-resolution RGB images. This dataset comprises a total of 2,800 images, each with a resolution of 400x400 pixels. The images are extracted from Google Earth and cover a range of diverse scenes. RSSCN7 includes seven distinct scene classes, with 400 images per class.
If you use the RSSCN7 dataset in your research, please consider citing the following publication or the dataset's official website:
@article{7272047,
title = {Deep Learning Based Feature Selection for Remote Sensing Scene Classification},
author = {Zou, Qin and Ni, Lihao and Zhang, Tong and Wang, Qian},
year = 2015,
journal = {IEEE Geoscience and Remote Sensing Letters},
volume = 12,
number = 11,
pages = {2321--2325},
doi = {10.1109/LGRS.2015.2475299}
}