Satellite SAR Sea Ice Classification – VISION AND IMAGE PROCESSING (VIP) RESEARCH GROUP https://vip.uwaterloo.ca The University of Waterloo's Vision and Image Processing Lab Tue, 10 Mar 2026 19:40:38 +0000 en-CA hourly 1 https://wordpress.org/?v=6.7 https://vip.uwaterloo.ca/wp-content/uploads/2023/04/cropped-favicon-32x32.png Satellite SAR Sea Ice Classification – VISION AND IMAGE PROCESSING (VIP) RESEARCH GROUP https://vip.uwaterloo.ca 32 32 Mingzhe (Major) Jiang https://vip.uwaterloo.ca/m-jiang/ Mon, 28 Aug 2023 14:42:58 +0000 https://vip.uwaterloo.ca/?p=3520 Mingzhe Jiang (Graduate Student Member, IEEE) received a B.Eng. degree in electronic information engineering and an M.Eng. degree in signal and information processing from the Hefei University of Technology, Hefei, China, in 2013 and 2016, respectively. He is currently pursuing a Ph.D. degree in systems design engineering at the University of Waterloo, Waterloo, ON, Canada. His research interests include machine learning and image processing with applications in remote sensing.

Supervisors
Alexander Wong, David Clausi
Publications
Journal Articles

Conference Papers

]]> Saeid Taleghanidoozdoozan https://vip.uwaterloo.ca/s-taleghanidoozdoozan/ Wed, 03 May 2023 23:23:21 +0000 https://vip.uwaterloo.ca/?p=3319 Saeid is a PhD graduate in the Systems Design Engineering department.
He holds an M.Sc. in remote sensing from K. N. Toosi University of Technology in Tehran, Iran, where he developed a passion for applying advanced machine learning techniques to remote sensing applications.

Supervisors
David Clausi, Linlin Xu
Research interests
His research focuses on applying advanced machine learning methods to remote sensing images, with a particular interest in using Convolutional Neural Networks and Transformers to classify compact polarimetric SAR scenes for applications such as sea-ice classification, oil spill detection, and land cover type classification.
Publications
Journal Articles

Conference Papers

]]> Fernando J. Pena Cantu https://vip.uwaterloo.ca/f-pena/ Mon, 01 May 2023 21:49:32 +0000 https://vip.uwaterloo.ca/?p=3286 Hi! My name is Fernando J. Pena Cantu and I am a MASc student with the VIP Lab’s Remote Sensing Group. My current research focuses on investigating the relationship between textural features and the incidence angle in synthetic aperture radar (SAR) imagery for sea ice classification. This topic has important implications for understanding the effects of SAR imaging parameters on sea ice detection and classification.

I am also involved in research on deep learning for sea ice segmentation and small object detection for whale surveying.

My research interests span a variety of topics in remote sensing, including synthetic aperture radar, textural features, deep learning, sea ice segmentation, domain adaptation, feature selection, and diffusion models. I am excited to continue exploring these areas and contributing to the advancement of remote sensing technologies.

Email: fjpenaca@uwaterloo.ca

Supervisors
David Clausi, Andrea Scott
Research interests
My current research interest are: Remote Sensing , Synthetic Aperture Radar, Textural Features, Deep Learning, Sea Ice Segmentation, Domain Adaptation, Feature Selection, Diffusion Models
Research topics
Computer Vision
Image Segmentation/Classification
Remote Sensing
Research demos
Satellite SAR Sea Ice Classification
Texture Classification
]]> Mohsen Ghanbari https://vip.uwaterloo.ca/mohsen-ghanbari/ Wed, 26 Apr 2023 22:37:13 +0000 https://vip.uwaterloo.ca/?p=2862

I graduated with a Ph.D. in Systems Design Engineering in June 2021. In my research, I aspire to develop innovative image processing and signal processing methods that are applicable to SAR satellite images. Since 2021, I have been working in the industry on developing signal processing algorithms for raw SAR data and evaluating SAR image quality.

Email: mohsen.ghanbari@uwaterloo.ca

Supervisors
David Clausi, Linlin Xu
Research topics
Image Segmentation/Classification
Remote Sensing
Research demos
MAGIC System
Satellite SAR Sea Ice Classification
Publications
Journal Articles

Conference Papers

]]> Neil Brubacher https://vip.uwaterloo.ca/n-brubacher/ Wed, 26 Apr 2023 14:45:48 +0000 https://vip.uwaterloo.ca/?p=2528 Neil is pursuing a MASc degree within the VIP Lab’s Remote Sensing group, continuing his Systems Design Engineering journey after having earned a BASc in SYDE in 2021. His research investigates deep learning methods for automating the interpretation of satellite and aerial imagery towards operational applications such as community sea ice safety and marine mammal surveying. His interests span remote sensing, arctic research, oceanography and deep learning methdologies, with specialization in Synthetic Aperture Radar (SAR) image processing & interpretation.

Email: ncbrubac@uwaterloo.ca

Supervisors
David Clausi, Andrea Scott
Research interests
SAR image analysis, small-object detection, ice/water classification
Research topics
Computer Vision
Image Segmentation/Classification
Remote Sensing
Research demos
Satellite SAR Sea Ice Classification

]]> Linlin Xu https://vip.uwaterloo.ca/linlin-xu/ Wed, 26 Apr 2023 14:17:28 +0000 https://vip.uwaterloo.ca/?p=2523 I am a post-doc in Vision and Image Processing Lab, working with professors David Clausi, Alexander Wong, Fan Li, and Steven Leigh, on machine learning, intelligent remote sensing analytics and environmental monitoring.

I recieved my PhD degree in Geography in 2014 from Department of Geography and Environment Management, University of Waterloo. I achieved my Master in 2010 and Bachelor degrees in 2007, both in geomatics engineering, from China University of Geosciences (Beijing). 

Research interests
My research interests lie broadly in the following aspects: (1) SAR, PolSAR data processing and the associated applications, particularly in ocean environment monitoring; (2) Hyperspectral and multispectral unmixing, classification, segmentation, feature extraction, and the associated applications; (3) Quantitative and computational methods in remote sensing and other geospatial application, spatial-multivariate data modeling and mining, quantitative remote sensing, image processing & computer vision, GIS, WebGIS; (4) GPS and InSAR data processing with the application in subside monitoring and DEM production; (5) Airborne, mobile, and terrestrial laser scanning mapping for land observation and 3D object modelling.
Research topics
Research demos
3D Reconstruction of Underwater Scenes
Grid Seams: A fast superpixel algorithm for real-time applications
MAGIC System
SAR Sea Ice Image Synthesis
Satellite SAR Sea Ice Classification
Texture Classification
Publications
Journal Articles

Conference Papers

]]> Linlin Xu https://vip.uwaterloo.ca/l-xu/ Wed, 29 Mar 2023 19:13:55 +0000 https://wwwvip.uwaterloo.ca/?p=1372 I am a Research Assistant Professor in the Department of Systems Design Engineering, working on AI, machine learning, Earth Observation and Environmental Remote Sensing projects.

In my key research areas, I have demonstrated excellence, leadership and recognition. I, as principal investigator, have successfully secured many competitive grants, including NSERC Discovery Grant. I have published one book chapter, 66 journal papers on high-rank remote sensing journals and 41 conference articles on high-impact conferences.

I have been involved in many invited talks and presentations to different audiences, and I frequently receive reviewer invitations from high-impact remote sensing journals and conferences. I serve as the Associate Editor of Frontiers in Environmental Science (Section: Big Data, AI and the Environment).

LinkedIn: linkedin.com/linlinxu.

Google Scholar: https://scholar.google.com/linlinxu

Email: l44xu@uwaterloo.ca

Research interests
With the explosion of Earth observation (EO) data, fast EO market growth is bottlenecked by the lack of intelligent analytics that can automatically transfer large-volume, ever-increasing, noisy, heterogeneous raw EO data into compact, real-time, value-added information products. I tailor-design cutting-edge AI solutions to enable automatic generation of scalable EO information products in a high-precision, fast and cost-effective manner to better support various key applications in environmental monitoring, resource exploration and climate change studies. I have strong expertise on AI and machine learning (ML), geospatial data science, different remote sensing techniques (i.e., Hyperspectral, Lidar and SAR remote sensing), and their environmental monitoring applications, e.g., land cover/use classification, hyperspectral mapping of biophysical, biochemical, and geochemical parameters, oil spill detection, and high-resolution Pan-Arctic sea/lake ice mapping.

Students

Supervision – Current

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Ph.D

Javier Noa Turnes

M.A.Sc

Niloofar Azad, Jayden Hsiao

Supervision – Completed

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Yuan Fang (2023)

Ph.D

Saeid Taleghanidoozdoozan (2023), Yuan Fang (2022), Mohsen Ghanbari (2021)

M.A.Sc

Mohammad Basri (2024), Muhammed Patel (2024), Yifan Wu (2022), Peter Q. Lee (2020)

Research topics
Computer Vision
Image Segmentation/Classification
Remote Sensing
Stochastic Models
Research demos
Compressed Sensing
Disparate Scene Registration
Grid Seams: A fast superpixel algorithm for real-time applications
MAGIC System
SAR Sea Ice Image Synthesis
Satellite SAR Sea Ice Classification
Texture Classification
Publications
Journal Articles

Conference Papers

]]> Peter Yu https://vip.uwaterloo.ca/p-yu/ Thu, 23 Mar 2023 20:25:00 +0000 https://wwwvip.uwaterloo.ca/?p=1220 I am a researcher and developer with expertise in the areas of image processing, remote sensing and computer vision. I received BASc and MASc degrees in Systems Design Engineering from the University of Waterloo in 2007 and 2009, respectively. After obtaining my MASc, I continued working with the VIP lab as a research associate from 2009 – 2010. Since 2010, I have been working in industry on image processing techniques for medical and remote sensing applications.

Email: p5yu@alumni.uwaterloo.ca

Website: http://www.peteryu.ca

Supervisors
David Clausi
Research interests
My research interests include image processing, image segmentation, data fusion, image synthesis and image enhancement for both remote sensing and medical applications.
Research topics
Image Segmentation/Classification
Remote Sensing
Research demos
MAGIC System
SAR Sea Ice Image Synthesis
Satellite SAR Sea Ice Classification
Publications
Journal Articles

Conference Papers

]]> Namrata Bandekar https://vip.uwaterloo.ca/n-bandekar/ Thu, 23 Mar 2023 19:47:42 +0000 https://wwwvip.uwaterloo.ca/?p=1205 I am a Master’s student in the Department of Systems Design Engineering at University of Waterloo. I am currently working on ‘SAR sea ice image ice and open water classification’ under the supervision of Prof. David Clausi.

I have received my previous Master’s and Bachelor’s in Electrical Engineering from the Indian Institute of Technology Bombay (IIT Bombay). I was enrolled in the 5 year integrated Dual Degree course with specialisation in Communication and Signal Processing. During my Master’s at IIT Bombay I worked on video compression and developed aperceptually lossless model for video coding using foveation and just noticeable distortion.

Supervisors
David Clausi
Research interests
My current research interest lies in the areas of image processing and computer vision.
Research topics
Image Segmentation/Classification
Remote Sensing
Research demos
MAGIC System
Satellite SAR Sea Ice Classification
Publications
Journal Articles

Conference Papers

]]> Steven Leigh https://vip.uwaterloo.ca/s-leigh/ Thu, 23 Mar 2023 19:34:53 +0000 https://wwwvip.uwaterloo.ca/?p=1197 I received my undergrad degree in Systems Design Engineering from the University of Waterloo in 2011. I continued into a masters degree in the same department under the supervision of Professor David Clausi.

I gained some experience of how the human brain processes visual information while working in the Computational Neuroscience Research Group at the University of Waterloo for 8 months.

Email: sleigh@uwaterloo.ca

Supervisors
David Clausi
Research interests
My research involves the automated interpretation of images with specific applications in remote sensing.
Research topics
Image Segmentation/Classification
Remote Sensing
Research demos
MAGIC System
Satellite SAR Sea Ice Classification
Publications
Journal Articles

Conference Papers

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