metadata
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': agriculture
'1': commercial
'2': harbor
'3': idle_land
'4': industrial
'5': meadow
'6': overpass
'7': park
'8': pond
'9': residential
'10': river
'11': water
splits:
- name: train
num_bytes: 158215614.4
num_examples: 2400
download_size: 147702566
dataset_size: 158215614.4
license: other
task_categories:
- image-classification
- zero-shot-image-classification
Dataset Card for "SIRI-WHU"
Dataset Description
- Paper Dirichlet-derived multiple topic scene classification model for high spatial resolution remote sensing imagery
- Paper The Fisher kernel coding framework for high spatial resolution scene classification
- Paper Bag-of-visual-words scene classifier with local and global features for high spatial resolution remote sensing imagery
Licensing Information
CC BY-NC-ND
Citation Information
The Fisher kernel coding framework for high spatial resolution scene classification
@article{zhao2015dirichlet,
title={Dirichlet-derived multiple topic scene classification model for high spatial resolution remote sensing imagery},
author={Zhao, Bei and Zhong, Yanfei and Xia, Gui-Song and Zhang, Liangpei},
journal={IEEE Transactions on Geoscience and Remote Sensing},
volume={54},
number={4},
pages={2108--2123},
year={2015},
publisher={IEEE}
}
@article{zhao2016fisher,
title={The Fisher kernel coding framework for high spatial resolution scene classification},
author={Zhao, Bei and Zhong, Yanfei and Zhang, Liangpei and Huang, Bo},
journal={Remote Sensing},
volume={8},
number={2},
pages={157},
year={2016},
publisher={MDPI}
}
@article{zhu2016bag,
title={Bag-of-visual-words scene classifier with local and global features for high spatial resolution remote sensing imagery},
author={Zhu, Qiqi and Zhong, Yanfei and Zhao, Bei and Xia, Gui-Song and Zhang, Liangpei},
journal={IEEE Geoscience and Remote Sensing Letters},
volume={13},
number={6},
pages={747--751},
year={2016},
publisher={IEEE}
}