ESGRS

Protecting Satellite Images Against Attacks using AI and Image Processing Techniques
2021-05-20 10:00 - 11:00 (Asia/Dubai)
Satellite imagery is a pivotal source of valuable information for monitoring our planet along with natural resources. However, these images have an extreme acquisition cost. Nowadays, with the widespread of the advanced technology, unauthorized ordinary people can access these data, modify their content and utilize them illegally. Therefore, there is a massive demand for providing secure storage and transmission of such data. Hence, digital watermarking has been introduced for overcoming this illegitimate practice.

DR. ALAVIKUNHU PANTHAKKANASSISTANT PROFESSORDr. Alavikunhu Panthakkan is a dynamic research scientist in electronics engineering and image signal processing. His research interests are in the areas of engineering education, copyright protection, authentication, medical image processing, video signal processing and artificial neural network. He received bachelor degree (B.Tech) in electronics and communication engineering, master degree (M.Tech) in electronics engineering and Ph.D. in electronics engineering. He has 4 years industrial experience and 7 years of teaching/research experience. He has published 20 papers in international conferences and journals. He is a member of Institute of Electrical and Electronic Engineers (IEEE), member of Institution of Engineers (India) (MIE), member of International Association of Engineers (IAENG), member of International Association of Computer and Information Technology (IACSIT) and member of Institute of Research Engineers and Doctors (IRED).

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Semantic Segmentation of Roads in Satellite Imagery
2021-05-04 10:00 - 11:00
Remote sensing is a field that is constantly growing due to its importance in applications related to urban planning, risk assessment, resource exploration, and disaster management. Some of the most highly researched topics in the area of remote sensing include Land Cover Land Use (LCLU), object detection, scene classification, and semantic segmentation. Nowadays, researchers are looking into automating these tasks, as performing them manually is time and cost inefficient. Therefore, Deep Learning (DL) algorithms have been utilized for remote sensing and image processing tasks in the recent years. Many studies proved efficiency of DL algorithms, however, several challenges remain unsolved. In particular, semantic segmentation is one of the challenging tasks that is under heavy demand in the field of remote sensing. For this research study, semantic segmentation is applied to extract roads from satellite images. Road mapping is an essential first step in several applications that include transportation, traffic management, and city planning. Extracting roads efficiently and accurately will in turn boost the overall outcome of the aforementioned applications. U-Net is the state-of-the-art Convolutional Neural Networks (CNN) that perform semantic segmentation. This network will be trained using publically available Massachusetts dataset. The accuracy and loss of all experiments will be reported and sample results from the dataset will be demonstrated.

ENG. MINA AL-SAADRESEARCH ASSISTANT @MBRSC LAB - UNIVERSITY OF DUBAIMina Al-Saad is a Research Assistant at Mohammed Bin Rashid Space Center (MBRSC) Lab at university of Dubai. She received her BSc in Laser and Optoelectronics Engineering from Al-Nahrain University, Iraq in 2009 and received her MSc in Laser and Optoelectronics Engineering from Al-Nahrain University, Iraq (2012). Her research interests include: Geographic information system (GIS) and remote sensing, Autonomous Object Detection, Semantic Segmentation, and Satellite Calibration and Validation.

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Satellite Remote Sensing for Maritime, Urban Planning and Agricultural Applications
2021-04-20 10:00 - 11:00
Satellite remote sensing has emerged as a transformative technology with diverse applications, notably in maritime monitoring, urban planning, and agriculture. In the maritime domain, satellites with advanced sensors can track vessel movements, detect oil spills, and monitor ocean health, bolstering maritime security and environmental conservation efforts. In urban planning, satellite data aids in mapping urban growth, infrastructure development, and land-use patterns, enabling informed decision-making for sustainable city planning. Furthermore, satellites provide invaluable insights into crop health, yield prediction, and soil moisture levels in agriculture, empowering farmers to optimize their practices and enhance food security. With its far-reaching capabilities, satellite remote sensing continues revolutionizing these critical sectors, offering a bird’s-eye view of our ever-changing world.

DR. ALI AL HAMMADICO-FOUNDER OF FARMINDr. Ali Al Hammadi received his BSc in Chemical Engineering (CE) from the Petroleum Institute, Abu Dhabi (honors with distinction, 2011) and received his PhD from the Department of Chemical and Biomolecular Engineering (CHBE) at Rice University, Houston, TX, USA (2016). His research is focused mainly on the challenges facing the oil industry as more heavy crude oils are produced; in particular, the clogging of wellbores, chocks, pumps, and reservoirs caused by the presence of asphaltene. The effect of asphaltene is an example of how both thermodynamics and kinetics can contribute to a problem. On the thermodynamic part, it mainly concerns with how asphaltene presence in a mixture or crude oil can affect the phase behavior and PVT properties. On the kinetics part, it mainly emphasizes the precipitation, aggregation, and deposition interactions and the prediction of the extent of such deposit. Another main research of Dr. Al Hammadi are nanotubes and fiber-reinforced composites. Experiments are being established to purify nanotubes by removing byproducts that hinder the full capabilities of nanotubes and study their scalability. Such nanotubes composites can be used for better electrical efficiency, lower densities, and extreme temperature applications.

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Use Cases of GIS and Remote Sensing Projects: from Concepts to Applications
2021-04-06 10:00 - 11:00
GIS (Geographic Information Systems) and remote sensing technology use various applications, from conceptualization to practical implementation. These powerful tools have revolutionized the way we interact with spatial data. Starting with concepts, GIS aids in spatial data collection, analysis, and visualization, facilitating decision-making processes in fields as diverse as urban planning, natural resource management, and disaster response. Remote sensing complements GIS by providing real-time and historical Earth observation data, enabling applications like environmental monitoring, crop yield prediction, and disaster risk assessment. Together, GIS and remote sensing create a dynamic synergy, transforming abstract ideas into tangible solutions that address complex challenges in our ever-evolving world.
