Articles | Volume 8, issue 3
https://doi.org/10.5194/amt-8-1173-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-8-1173-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
10 Mar 2015
Research article |
| 10 Mar 2015
Block-based cloud classification with statistical features and distribution of local texture features
H.-Y. Cheng
CORRESPONDING AUTHOR
Department of Computer Science and Information Engineering, National Central University, 300 Jongda Rd., Zhongli Dist., Taoyuan City 32001, Taiwan
C.-C. Yu
Department of Computer Science and Information Engineering, Vanung University, 1 Wanneng Rd., Zhongli Dist., Taoyuan City 32061, Taiwan
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Cited
22 citations as recorded by crossref.
- A Selection Criterion for the Optimal Resolution of Ground-Based Remote Sensing Cloud Images for Cloud Classification Y. Wang et al. 10.1109/TGRS.2018.2866206
- Dual Guided Loss for Ground-Based Cloud Classification in Weather Station Networks M. Li et al. 10.1109/ACCESS.2019.2916905
- Feature extraction techniques for ground-based cloud type classification T. Kliangsuwan & A. Heednacram 10.1016/j.eswa.2015.05.016
- Improving cloud type classification of ground-based images using region covariance descriptors Y. Tang et al. 10.5194/amt-14-737-2021
- ClouDet: A Dilated Separable CNN-Based Cloud Detection Framework for Remote Sensing Imagery H. Guo et al. 10.1109/JSTARS.2021.3114171
- Cloud detection in all-sky images via multi-scale neighborhood features and multiple supervised learning techniques H. Cheng & C. Lin 10.5194/amt-10-199-2017
- Benchmarking of solar irradiance nowcast performance derived from all-sky imagers S. Logothetis et al. 10.1016/j.renene.2022.08.127
- Cloud Type Classification of Total-Sky Images Using Duplex Norm-Bounded Sparse Coding J. Gan et al. 10.1109/JSTARS.2017.2669206
- FFT features and hierarchical classification algorithms for cloud images T. Kliangsuwan & A. Heednacram 10.1016/j.engappai.2018.08.008
- CloudDenseNet: Lightweight Ground-Based Cloud Classification Method for Large-Scale Datasets Based on Reconstructed DenseNet S. Li et al. 10.3390/s23187957
- Multi-Evidence and Multi-Modal Fusion Network for Ground-Based Cloud Recognition S. Liu et al. 10.3390/rs12030464
- Ground-Based Cloud-Type Recognition Using Manifold Kernel Sparse Coding and Dictionary Learning Q. Luo et al. 10.1155/2018/9684206
- Per-pixel classification of clouds from whole sky HDR images P. Satilmis et al. 10.1016/j.image.2020.115950
- Cloud classification of ground-based infrared images combining manifold and texture features Q. Luo et al. 10.5194/amt-11-5351-2018
- Deep tensor fusion network for multimodal ground-based cloud classification in weather station networks M. Li et al. 10.1016/j.adhoc.2019.101991
- Deep multimodal fusion for ground-based cloud classification in weather station networks S. Liu & M. Li 10.1186/s13638-018-1062-0
- Supervised Fine-Grained Cloud Detection and Recognition in Whole-Sky Images L. Ye et al. 10.1109/TGRS.2019.2917612
- Weather Forecast Based on Color Cloud Image Recognition under the Combination of Local Image Descriptor and Histogram Selection K. Tran-Trung et al. 10.3390/electronics11213460
- From pixels to patches: a cloud classification method based on a bag of micro-structures Q. Li et al. 10.5194/amt-9-753-2016
- Aerosol Optical Properties and Type Retrieval via Machine Learning and an All-Sky Imager S. Logothetis et al. 10.3390/atmos14081266
- Automatic Cloud‐Type Classification Based On the Combined Use of a Sky Camera and a Ceilometer J. Huertas‐Tato et al. 10.1002/2017JD027131
- Robust partitioning and indexing for iris biometric database based on local features E. Khalaf et al. 10.1049/iet-bmt.2017.0130
21 citations as recorded by crossref.
- A Selection Criterion for the Optimal Resolution of Ground-Based Remote Sensing Cloud Images for Cloud Classification Y. Wang et al. 10.1109/TGRS.2018.2866206
- Dual Guided Loss for Ground-Based Cloud Classification in Weather Station Networks M. Li et al. 10.1109/ACCESS.2019.2916905
- Feature extraction techniques for ground-based cloud type classification T. Kliangsuwan & A. Heednacram 10.1016/j.eswa.2015.05.016
- Improving cloud type classification of ground-based images using region covariance descriptors Y. Tang et al. 10.5194/amt-14-737-2021
- ClouDet: A Dilated Separable CNN-Based Cloud Detection Framework for Remote Sensing Imagery H. Guo et al. 10.1109/JSTARS.2021.3114171
- Cloud detection in all-sky images via multi-scale neighborhood features and multiple supervised learning techniques H. Cheng & C. Lin 10.5194/amt-10-199-2017
- Benchmarking of solar irradiance nowcast performance derived from all-sky imagers S. Logothetis et al. 10.1016/j.renene.2022.08.127
- Cloud Type Classification of Total-Sky Images Using Duplex Norm-Bounded Sparse Coding J. Gan et al. 10.1109/JSTARS.2017.2669206
- FFT features and hierarchical classification algorithms for cloud images T. Kliangsuwan & A. Heednacram 10.1016/j.engappai.2018.08.008
- CloudDenseNet: Lightweight Ground-Based Cloud Classification Method for Large-Scale Datasets Based on Reconstructed DenseNet S. Li et al. 10.3390/s23187957
- Multi-Evidence and Multi-Modal Fusion Network for Ground-Based Cloud Recognition S. Liu et al. 10.3390/rs12030464
- Ground-Based Cloud-Type Recognition Using Manifold Kernel Sparse Coding and Dictionary Learning Q. Luo et al. 10.1155/2018/9684206
- Per-pixel classification of clouds from whole sky HDR images P. Satilmis et al. 10.1016/j.image.2020.115950
- Cloud classification of ground-based infrared images combining manifold and texture features Q. Luo et al. 10.5194/amt-11-5351-2018
- Deep tensor fusion network for multimodal ground-based cloud classification in weather station networks M. Li et al. 10.1016/j.adhoc.2019.101991
- Deep multimodal fusion for ground-based cloud classification in weather station networks S. Liu & M. Li 10.1186/s13638-018-1062-0
- Supervised Fine-Grained Cloud Detection and Recognition in Whole-Sky Images L. Ye et al. 10.1109/TGRS.2019.2917612
- Weather Forecast Based on Color Cloud Image Recognition under the Combination of Local Image Descriptor and Histogram Selection K. Tran-Trung et al. 10.3390/electronics11213460
- From pixels to patches: a cloud classification method based on a bag of micro-structures Q. Li et al. 10.5194/amt-9-753-2016
- Aerosol Optical Properties and Type Retrieval via Machine Learning and an All-Sky Imager S. Logothetis et al. 10.3390/atmos14081266
- Automatic Cloud‐Type Classification Based On the Combined Use of a Sky Camera and a Ceilometer J. Huertas‐Tato et al. 10.1002/2017JD027131
1 citations as recorded by crossref.
Saved (final revised paper)
Latest update: 04 Nov 2024
Short summary
This work performs cloud classification on all-sky images. To deal with mixed cloud types, we propose performing block-based classification. The proposed method combines local texture features with classical statistical texture features. The experimental results have shown that applying the combined feature results in higher classification accuracy. It is also validated that using block-based classification outperforms classification on the entire images.
This work performs cloud classification on all-sky images. To deal with mixed cloud types, we...
