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ShipGeoNet: SAR Image-Based Geometric Feature Extraction of Ships Using Convolutional Neural Networks.

M. Yasir, S. Liu, M. Xu, J. Wan, S. Pirasteh, and K. Dang. IEEE Trans. Geosci. Remote. Sens., (2024)

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Mohamed Mostafa Saied

Ahmad Saied

Mehrnaz Pirasteh

Gholamreza Pirasteh

Alan Saied

Other publications of authors with the same name

Incorporating Persistent Scatterer Interferometry and Radon Anomaly to Understand the Anar Fault Mechanism and Observing New Evidence of Intensified Activity.A. Mehrabi, S. Pirasteh, A. Rashidi, M. Pourkhosravani, R. Derakhshani, G. Liu, W. Mao, and W. Xiang. Remote. Sens., 13 (11): 2072 (2021)A novel approach for flood hazard assessment using hybridized ensemble models and feature selection algorithms.A. Habibi, M. Delavar, B. Nazari, S. Pirasteh, and M. Sadeghian. Int. J. Appl. Earth Obs. Geoinformation, (August 2023)A novel region-based expansion rate obstacle detection method for MAVs using a fisheye camera.S. Badrloo, M. Varshosaz, S. Pirasteh, and J. Li. Int. J. Appl. Earth Obs. Geoinformation, (2022)Use of Remote Sensing Data and GIS Tools for Seismic Hazard Assessment for Shallow Oilfields and its Impact on the Settlements at Masjed-i-Soleiman Area, Zagros Mountains, Iran.H. Safari, S. Pirasteh, B. Pradhan, and L. Gharibvand. Remote Sensing, 2 (5): 1364-1377 (2010)Monitoring sea surface salinity season variation from MODIS satellite data.S. Daqamseh, S. Mansor, A. Mahmud, and S. Pirasteh. IGARSS, page 628-631. IEEE, (2010)InSAR Spatial-Heterogeneity Tropospheric Delay Correction in Steep Mountainous Areas Based on Deep Learning for Landslides Monitoring.H. Zhou, K. Dai, S. Pirasteh, R. Li, J. Xiang, and Z. Li. IEEE Trans. Geosci. Remote. Sens., (2023)ShipGeoNet: SAR Image-Based Geometric Feature Extraction of Ships Using Convolutional Neural Networks.M. Yasir, S. Liu, M. Xu, J. Wan, S. Pirasteh, and K. Dang. IEEE Trans. Geosci. Remote. Sens., (2024)Unsupervised Feature Learning to Improve Transferability of Landslide Susceptibility Representations.Q. Zhu, L. Chen, H. Hu, S. Pirasteh, H. Li, and X. Xie. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2020)Developing an Algorithm for Buildings Extraction and Determining Changes from Airborne LiDAR, and Comparing with R-CNN Method from Drone Images.S. Pirasteh, P. Rashidi, H. Rastiveis, S. Huang, Q. Zhu, G. Liu, Y. Li, J. Li, and E. Seydipour. Remote. Sens., 11 (11): 1272 (2019)Time Series InSAR Ionospheric Delay Estimation, Correction, and Ground Deformation Monitoring With Reformulating Range Split-Spectrum Interferometry.W. Mao, X. Wang, G. Liu, S. Pirasteh, R. Zhang, H. Lin, Y. Xie, W. Xiang, Z. Ma, and P. Ma. IEEE Trans. Geosci. Remote. Sens., (2023)

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Disambiguation of "Pirasteh, Saied"

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URL
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ShipGeoNet: SAR Image-Based Geometric Feature Extraction of Ships Using Convolutional Neural Networks.

Please choose a person to relate this publication to

Mohamed Mostafa Saied

Ahmad Saied

Mehrnaz Pirasteh

Gholamreza Pirasteh

Alan Saied

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Pirasteh, Saied"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML ShipGeoNet: SAR Image-Based Geometric Feature Extraction of Ships Using Convolutional Neural Networks.

Please choose a person to relate this publication to

Mohamed Mostafa Saied

Ahmad Saied

Mehrnaz Pirasteh

Gholamreza Pirasteh

Alan Saied

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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ShipGeoNet: SAR Image-Based Geometric Feature Extraction of Ships Using Convolutional Neural Networks.