CODE:
A. Ma, Y. Zhong, and L. Zhang, "Adaptive Multiobjective Memetic Fuzzy Clustering Algorithm for Remote Sensing Imagery," IEEE Transactions on Geoscience and Remote Sensing , vol. 53, no. 8, pp. 4202-4217, 2015. (New: Code and Data)
This is a 12-class Google image dataset of SIRI-WHU meant for research purposes.
There are 200 images for each of the following classes:
Each image measures 200*200 pixels, with a 2-m spatial resolution.
This dataset was acquired from Google Earth (Google Inc.) and mainly covers urban areas in China, and the scene image dataset is designed by RS_IDEA Group in Wuhan University (SIRI-WHU).
Please cite the following paper when publishing results that use this dataset:
B. Zhao, Y. Zhong, G.-s. Xia, and L. Zhang, "Dirichlet-Derived Multiple Topic Scene Classification Model Fusing Heterogeneous Features for High Spatial Resolution Remote Sensing Imagery," IEEE Transactions on Geoscience and Remote Sensing, vol. 54, no. 4, pp. 2108-2123, Apr. 2016.
B. Zhao, Y. Zhong, L. Zhang, and B. Huang, "The Fisher Kernel Coding Framework for High Spatial Resolution Scene Classification," Remote Sensing, vol. 8, no. 2, p. 157, doi:10.3390/rs8020157 2016.
Q. Zhu, Y. Zhong, B. Zhao, G.-S. Xia, and L. Zhang, "Bag-of-Visual-Words Scene Classifier with Local and Global Features for High Spatial Resolution Remote Sensing Imagery," IEEE Geoscience and Remote Sensing Letters, DOI:10.1109/LGRS.2015.2513443 2016.
This is a 4 class USGS image dataset of SIRI-WHU annotation image meant for research purposes.
The USGS image dataset of SIRI -WHU is a color aerial orthophotographs mainly contains the following 4 scene classes:
The large image measures 10000*9000 pixels, with a 2 ft spatial resolution.
This dataset was acquired from USGS, covering Montgomery Country, Ohio, USA, and the scene image dataset is designed by RS_IDEA Group in Wuhan University (SIRI-WHU).
Please cite the following paper when publishing results that use this dataset:
Y. Zhong, Q. Zhu, and L. Zhang, "Scene Classification Based on the MultiFeature Fusion Probabilistic Topic Model for High Spatial Resolution Remote Sensing Imagery," IEEE Transactions on Geoscience and Remote Sensing, vol. 53, no. 11, pp. 6207-6222, Nov. 2015.
Zhong Y, Cui M, Zhu Q, and L. Zhang. "Scene classification based on multifeature probabilistic latent semantic analysis for high spatial resolution remote sensing images," Journal of Applied Remote Sensing, vol. 9, no. 1, 2015.