|
--- |
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dataset_info: |
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features: |
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- name: image |
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dtype: image |
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- name: label |
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dtype: |
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class_label: |
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names: |
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'0': dense forest |
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'1': grassland |
|
'2': harbor |
|
'3': high buildings |
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'4': low buildings |
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'5': overpass |
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'6': railway |
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'7': residential area |
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'8': roads |
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'9': sparse forest |
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'10': storage tanks |
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splits: |
|
- name: train |
|
num_bytes: 969136595.28 |
|
num_examples: 1232 |
|
download_size: 916398984 |
|
dataset_size: 969136595.28 |
|
license: other |
|
task_categories: |
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- image-classification |
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- zero-shot-image-classification |
|
--- |
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# Dataset Card for "RS_C11" |
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## Dataset Description |
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|
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- **Paper** [Feature significance-based multibag-of-visual-words model for remote sensing image scene classification](https://www.spiedigitallibrary.org/journals/journal-of-applied-remote-sensing/volume-10/issue-3/035004/Feature-significance-based-multibag-of-visual-words-model-for-remote/10.1117/1.JRS.10.035004.pdf) |
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|
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### Licensing Information |
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|
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Free usage without license. |
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|
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## Citation Information |
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|
|
[Feature significance-based multibag-of-visual-words model for remote sensing image scene classification](https://www.spiedigitallibrary.org/journals/journal-of-applied-remote-sensing/volume-10/issue-3/035004/Feature-significance-based-multibag-of-visual-words-model-for-remote/10.1117/1.JRS.10.035004.pdf) |
|
|
|
``` |
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@article{zhao2016feature, |
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title = {Feature significance-based multibag-of-visual-words model for remote sensing image scene classification}, |
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author = {Zhao, Lijun and Tang, Ping and Huo, Lianzhi}, |
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year = 2016, |
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journal = {Journal of Applied Remote Sensing}, |
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publisher = {Society of Photo-Optical Instrumentation Engineers}, |
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volume = 10, |
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number = 3, |
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pages = {035004--035004} |
|
} |
|
``` |
