Dr. Saeed H. Al Mansoori Profile

Dr. Saeed H. Al Mansoori

Director at Mohammed Bin Rashid Space Ctr

SPIE Involvement:

Conference Program Committee | Author

Area of Expertise:

GIS Applications , Environmental Analysis , Image Processing , Remote Sensing , Deep Learning , Artificial Intelligence

Websites:

Company Website

Profile Summary

Dr. Saeed Al Mansoori is the Director of the Remote Sensing Department at Mohammed Bin Rashid Space Centre (MBRSC) and the head of the MBRSC Lab at the University of Dubai. He has received B.Sc. degree in Communication Engineering from Khalifa University of Science, Technology and Research (KUSTAR), Sharjah, UAE in 2010 and the M.Sc. degree in Electrical Engineering from American University of Sharjah (AUS) in 2016. In 2024, Saeed received a PhD in computer science from the British University in Dubai. Saeed's research interests include signal and image processing, artificial intelligence, remote sensing, GIS, etc. He is a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE), a Senior Member of the international society for optics and photonics (SPIE) and a Fellow of the Institution of Engineering and Technology (IET). He has authored or co-authored more than 95 papers in international conferences and journals.

Publications (19)

Proceedings Article | 30 September 2022 Paper

Paper

Radiometric validation algorithms for DMSAT-1

Haritha Harikrishnan, Alya AlMaazmi, Saeed Almansoori, Hussain Alahmad

Proceedings Volume 12235, 122350I (2022) https://doi.org/10.1117/12.2632668

KEYWORDS: Modulation transfer functions, Signal to noise ratio, Calibration, Nonuniformity corrections, Satellites, Polarizers, Satellite imaging, Near infrared, Earth observing sensors, Atmospheric particles

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Proceedings Article | 12 September 2021 Poster + Presentation + Paper

Poster + Presentation + Paper

Airbus ship detection from satellite imagery using frequency domain learning

Mina Al-Saad, Nour Aburaed, Alavikunhu Panthakkan, Saeed Al Mansoori, Hussain Al Ahmad, Stephen Marshall

Proceedings Volume 11862, 1186210 (2021) https://doi.org/10.1117/12.2600168

KEYWORDS: Wavelets, Discrete wavelet transforms, Satellite imaging, Remote sensing, Image processing, Detection and tracking algorithms, Convolutional neural networks

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Proceedings Article | 20 September 2020 Poster + Paper

Poster + Paper

Super-resolution of satellite imagery using a wavelet multiscale-based deep convolutional neural network model

Nour Aburaed, Alavikunhu Panthakkan, Mina Al-Saad, Marwa Chendeb El Rai, Saeed Al Mansoori, Hussain Al-Ahmad, Stephen Marshall

Proceedings Volume 11533, 115331J (2020) https://doi.org/10.1117/12.2573991

KEYWORDS: Satellite imaging, Satellites, Earth observing sensors, Wavelets, Super resolution, Convolutional neural networks, Image resolution, Lawrencium, Multiscale representation, Spatial resolution

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Proceedings Article | 20 September 2020 Presentation + Paper

Presentation + Paper

Remote sensing and GIS approach for environmental green areas planning using Landsat imagery, Dubai-UAE

Diena Aldogom, Saeed Al Mansoori, Alya AlMaazmi, Tasnim Nazzal

Proceedings Volume 11534, 115340F (2020) https://doi.org/10.1117/12.2573904

KEYWORDS: Geographic information systems, Environmental sensing, Remote sensing, Satellite imaging, Satellites, Earth observing sensors, Pollution, Image segmentation, Standards development, Spatial resolution

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Proceedings Article | 20 September 2020 Presentation + Paper

Presentation + Paper

Automatic detection of potential buried archaeological sites in Saruq Al-Hadid, United Arab Emirates

Marwa Chendeb El Rai, Mina Al-Saad, Nour Aburaed, Saeed Al Mansoori, Hussain Al-Ahmad, Stephen Marshall

Proceedings Volume 11535, 115350G (2020) https://doi.org/10.1117/12.2573985

KEYWORDS: Image fusion, Visualization, Earth observing sensors, Landsat, Multispectral imaging, Remote sensing, Synthetic aperture radar, L band, Data fusion, Surface roughness

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Proceedings Article | 7 October 2019 Paper

Paper

Super resolution of DS-2 satellite imagery using deep convolutional neural network

Nour Aburaed, Alavi Panthakkan, Saeed Almansoori, Hussain Al-Ahmad

Proceedings Volume 11155, 111551I (2019) https://doi.org/10.1117/12.2533116

KEYWORDS: RGB color model, Satellites, Earth observing sensors, Super resolution, Satellite imaging, Convolutional neural networks, Signal to noise ratio, Image resolution, Chromium, Electro optical modeling

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Proceedings Article | 2 October 2019 Presentation + Paper

Presentation + Paper

Multi temporal satellite images for growth detection and urban sprawl analysis; Dubai City, UAE

Diena Aldogom, Nour Aburaed, Mina Al-Saad, Saeed Al Mansoori, Meera Rashid Al Shamsi, Alya Ahmed Al Maazmi

Proceedings Volume 11157, 111570C (2019) https://doi.org/10.1117/12.2533097

KEYWORDS: Earth observing sensors, Landsat, Satellite imaging, Satellites, Roads, Geographic information systems, Statistical analysis, Image information entropy, Image classification, Agriculture

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Proceedings Article | 9 October 2018 Paper

Paper

Design and implementation of highly efficient digital watermarking prototype for securing copyright and authentication of satellite imagery

Saeed Al Mansoori, Alavi Kunhu, Hussain Al-Ahmad

Proceedings Volume 10792, 107920E (2018) https://doi.org/10.1117/12.2325743

KEYWORDS: Digital watermarking, Satellites, Earth observing sensors, Satellite imaging, Signal to noise ratio, Discrete wavelet transforms, Prototyping, Wavelets, Binary data, Associative arrays

Read Abstract +

Satellite imagery is considered as a powerful tool to map and monitor natural and man-made resources changes globally. Moreover, it greatly contributes to boost scientific researches, supports decision making process regarding important issues and has a tremendous potential to improve economic outcomes. However, the dramatic growth in the field of communication and the internet allows satellite imagery to be easily distributed, tampered and duplicated by unauthorized users. As a result, the protection of its intellectual property has become of a great demand. To overcome this issue, the concept of “watermarking” has been introduced as a potential solution for copyright protection and ownership authentication of satellite images. The principle of watermarking here is based on embedding a pattern of invisible identification information (for instance logo) into a satellite image so that it can be detected or extracted later to identify the copyright owner. Unlike other sorts of data, satellite images are complex in nature and contain very sensitive information which can be easily degraded by inserting additional information. This means that applying watermarking technique to satellite images would affect negatively on its quality, which totally interferes with the main purpose of building high resolution satellites. Thus, a proper technique should be developed to overcome this problem. Recently, digital watermarking has been a hot research topic in academia and industry, where a wide number of schemes have been proposed and evaluated. This paper deals with the design, implementation and evaluation of a novel watermarking model for preserving the copyright and authentication of DubaiSat-2 images. The proposed algorithm must be robust against intentional and non-intentional attacks such as compression, scaling, rotation, filtering, cropping, contrast enhancement etc. In addition, the algorithm should be fragile in such a way that it should be very sensitive to any minor tampering/modification and it should precisely detect tampered area on the satellite image. Moreover, the watermark should be imperceptible to the human eye. Five quality indices are used to assess the performance of the proposed prototype, which consist of the peak signal to noise ratio (PSNR), wavelet domain signal to noise ratio (WSNR), structure similarity index measurement (SSIM), normalized correlation (NC) and mean square error (MSE).

Proceedings Article | 9 October 2018 Presentation + Paper

Presentation + Paper

Automatic palm trees detection from multispectral UAV data using normalized difference vegetation index and circular Hough transform

Saeed Al Mansoori, Alavi Kunhu , Hussain Al Ahmad

Proceedings Volume 10792, 1079203 (2018) https://doi.org/10.1117/12.2325732

KEYWORDS: Unmanned aerial vehicles, Vegetation, Hough transforms, Image processing, Edge detection, Remote sensing, Binary data, Reflectivity, Satellites, Aluminum

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Proceedings Article | 2 November 2017 Paper

Paper

Study the impact of rainfall on the United Arab Emirates dams using remote sensing and image processing techniques

Fatima Al Marzouqi, Shaikha Al Besher, Saeed Al Mansoori

Proceedings Volume 10421, 104211M (2017) https://doi.org/10.1117/12.2278509

KEYWORDS: Aluminum, Remote sensing, Image processing, Floods, Standards development, Image segmentation, Satellites, Near infrared, Agriculture, Satellite imaging

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Proceedings Article | 24 October 2016 Paper

Paper

Coastline change mapping using a spectral band method and Sobel edge operator

Saeed Al-Mansoori, Fatima Al-Marzouqi

Proceedings Volume 10007, 100070P (2016) https://doi.org/10.1117/12.2242046

KEYWORDS: Vegetation, Binary data, Satellite imaging, Earth observing sensors, Satellites, Image processing, Remote sensing, Near infrared, Water, Photography

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Proceedings Article | 20 October 2015 Paper

Paper

Semi-supervised classification tool for DubaiSat-2 multispectral imagery

Saeed Al-Mansoori

Proceedings Volume 9646, 96460X (2015) https://doi.org/10.1117/12.2195081

KEYWORDS: Image classification, Vegetation, Multispectral imaging, Near infrared, Satellites, Image processing, Roads, Earth observing sensors, Remote sensing, Satellite imaging

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Proceedings Article | 22 October 2014 Paper

Paper

Cal/Val activities for DubaiSat-2 performance assessment

A. Bushahab, S. Al-Mansoori, K. Al-Suwaidi, Hessa Al Matroushi, E. Al-Tunaiji, Meera Al Shamsi

Proceedings Volume 9241, 924119 (2014) https://doi.org/10.1117/12.2067593

KEYWORDS: Satellites, Modulation transfer functions, Signal to noise ratio, Sensors, Staring arrays, Calibration, Nonuniformity corrections, Satellite imaging, Zoom lenses, Image quality

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Proceedings Article | 20 October 2014 Paper

Paper

Hybrid DWT-DCT and Hash function based digital image watermarking for copyright protection and content authentication of DubaiSat-2 images

Saeed Al-Mansoori, Alavi Kunhu

Proceedings Volume 9247, 924707 (2014) https://doi.org/10.1117/12.2067254

KEYWORDS: Digital watermarking, Discrete wavelet transforms, Image compression, Digital imaging, Image processing, Satellite imaging, Satellites, Transparency, Computer programming, Earth observing sensors

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Proceedings Article | 23 October 2013 Paper

Paper

Discrete cosine transform and hash functions toward implementing a (robust-fragile) watermarking scheme

Saeed Al-Mansoori, Alavi Kunhu

Proceedings Volume 8895, 889504 (2013) https://doi.org/10.1117/12.2029163

KEYWORDS: Digital watermarking, Computer programming, Image compression, Satellites, Satellite imaging, Earth observing sensors, Image quality, Image processing, RGB color model, Remote sensing

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Proceedings Article | 24 September 2013 Paper

Paper

Enhancing DubaiSat-1 satellite imagery using a single image super-resolution

Saeed Al-Mansoori, Alavi Kunhu

Proceedings Volume 8871, 88710N (2013) https://doi.org/10.1117/12.2021856

KEYWORDS: Image resolution, Image enhancement, Super resolution, Image quality, Image processing, Databases, Satellite imaging, Satellites, Earth observing sensors, Resolution enhancement technologies

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Proceedings Article | 24 September 2013 Paper

Paper

Multi-watermarking scheme for copyright protection and content authentication of DubaiSat-1 satellite imagery

Saeed Al-Mansoori, Alavi Kunhu

Proceedings Volume 8871, 88710B (2013) https://doi.org/10.1117/12.2021855

KEYWORDS: Digital watermarking, Computer programming, Satellites, Image compression, Satellite imaging, Earth observing sensors, RGB color model, Image restoration, Image encryption, Satellite communications

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Proceedings Article | 24 October 2012 Paper

Paper

An efficient watermarking technique for satellite images using discrete cosine transform

Saeed AL-Mansoori

Proceedings Volume 8539, 85390A (2012) https://doi.org/10.1117/12.979185

KEYWORDS: Digital watermarking, Image processing, Binary data, Image compression, Image quality, Satellite imaging, Satellites, Earth observing sensors, Signal processing, Computer security

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Proceedings Article | 12 October 2011 Paper

Paper

Design and analysis of algorithms for enhancing the quality and the resolution of Dubai Sat-1 images

Saeed Al-Mansoori

Proceedings Volume 8183, 81830K (2011) https://doi.org/10.1117/12.897843

KEYWORDS: Satellite imaging, Earth observing sensors, Satellites, Autoregressive models, Image resolution, Super resolution, Image restoration, Image quality, Image enhancement, Algorithm development

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Showing 5 of 19 publications

Conference Committee Involvement (10)

Sensors, Systems, and Next-Generation Satellites XXVIII

16 September 2024 | Edinburgh, United Kingdom

High-Performance Computing in Geoscience and Remote Sensing

13 September 2018 | Berlin, Germany

High-Performance Computing in Geoscience and Remote Sensing

12 September 2017 | Warsaw, Poland

High-Performance Computing in Geoscience and Remote Sensing

28 September 2016 | Edinburgh, United Kingdom

High-Performance Computing in Remote Sensing

21 September 2015 | Toulouse, France

Showing 5 of 10 Conference Committees

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