Personal profile
Education/Academic qualification
Remote Sensing with AI, PhD , From images To changes: enhancing synthetic aperture radar change detection via registration and deep despeckling model, University of Reading
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Dive into the research topics where Mohamed Ihmeida is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Bi-dimensional Attention-Based SAR Change Detection with SEBlock and MHSA
Ihmeida, M. & Shahzad, M., 11 Mar 2025, Bi-dimensional Attention-Based SAR Change Detection with SEBlock and MHSA. IEEEResearch output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Enhanced change detection in SAR images using DWT and optimised loss functions
Ihmeida, M. & Shahzad, M., 16 May 2025, Proceedings Volume 13636, Seventh International Conference on Image Processing and Machine Vision (IPMV 2025). Hong Kong, China: SPIE, Vol. 13636.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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High-Confidence Clustering and Lightweight U-Net for SAR Change Detection
Ihmeida, M., Bian, S., Azad, R. M. A. & Saleh, T., 24 Nov 2025, Springer in the Lecture Notes in Artificial Intelligence (LNAI).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Deep despeckling of SAR images to improve change detection performance
Ihmeida, M. & Shahzad, M., 8 Nov 2023, Artificial Intelligence XL . Springer NatureResearch output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Enhanced change detection performance based on deep despeckling of synthetic aperture radar images
Ihmeida, M. (Corresponding / Lead Author) & Shahzad, M., 21 Aug 2023, In: IEEE Access. 11, p. 95734 - 95746Research output: Contribution to journal › Article › peer-review
Open Access