opensarshipfilter-package-sourcecode
OpenSARShipFilter is a tool used to filter the OpenSARShip dataset to acquire specified ships.
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OpenSARShipFilter is a tool used to filter the OpenSARShip dataset to acquire specified ships conveniently for your researches. So you can get ships with specified ship sizes, image sizes, incidence angles, headings, and length error ratios. OpenSARShipFilter is developed and maintained by EasySAR interest group. EasySAR interest group is dedicated to the easy use of SAR data. The OpenSARShip dataset provided by Shanghai Jiaotong University can be downloaded freely from http://opensar.sjtu.edu.cn/
If you have used this tool in your research, please cite our work in your paper or report. Reference:
Leng, Xiangguang, et al. “Fast Shape Parameter Estimation of the Complex Generalized Gaussian Distribution in SAR Images.” IEEE Geoscience and Remote Sensing Letters, Institute of Electrical and Electronics Engineers (IEEE), 2020, pp. 1–5, doi:10.1109/lgrs.2019.2960095
X. Leng, et al. Discriminating Ship From Radio Frequency Interference Based on Noncircularity and Non-Gaussianity in Sentinel-1 SAR Imagery, IEEE Transactions on Geoscience and Remote Sensing, 2018, 57(1): 352-363.
X. Leng, et al. Ship Detection Based on Complex Signal Kurtosis in Single-Channel SAR Imagery, IEEE Transactions on Geoscience and Remote Sensing, 2019, pp. 1–15, doi:10.1109/tgrs.2019.2906054.
Contact Email: luckight@163.com
Cita come
luckight leng (2026). opensarshipfilter-package-sourcecode (https://it.mathworks.com/matlabcentral/fileexchange/66929-opensarshipfilter-package-sourcecode), MATLAB Central File Exchange. Recuperato .
Leng, Xiangguang, et al. “Fast Shape Parameter Estimation of the Complex Generalized Gaussian Distribution in SAR Images.” IEEE Geoscience and Remote Sensing Letters, Institute of Electrical and Electronics Engineers (IEEE), 2020, pp. 1–5, doi:10.1109/lgrs.2019.2960095.
Leng, Xiangguang, et al. “Discriminating Ship From Radio Frequency Interference Based on Noncircularity and Non-Gaussianity in Sentinel-1 SAR Imagery.” IEEE Transactions on Geoscience and Remote Sensing, vol. 57, no. 1, Institute of Electrical and Electronics Engineers (IEEE), Jan. 2019, pp. 352–63, doi:10.1109/tgrs.2018.2854661.
Leng, Xiangguang, et al. “Ship Detection Based on Complex Signal Kurtosis in Single-Channel SAR Imagery.” IEEE Transactions on Geoscience and Remote Sensing, vol. 57, no. 9, Institute of Electrical and Electronics Engineers (IEEE), Sept. 2019, pp. 6447–61, doi:10.1109/tgrs.2019.2906054.
Informazioni generali
- Versione 1.0.0.3 (88,2 KB)
Compatibilità della release di MATLAB
- Compatibile con qualsiasi release
Compatibilità della piattaforma
- Windows
- macOS
- Linux
