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David A. Clausi

David A. Clausi

D-Index & Metrics

Computer Science

D-Index
48
Citations
11890
World Ranking
6092
National Ranking
235

Overview

David A. Clausi is affiliated with the University of Waterloo in Canada. Their research spans several fields including Earth and Planetary Sciences, Computer Science, and Engineering. Within these domains, their work covers notable subfields such as Atmospheric Science, Computer Vision and Pattern Recognition, Economics and Econometrics, Artificial Intelligence, and Environmental Chemistry.

The scientist's research topics include Arctic and Antarctic ice dynamics, Video Analysis and Summarization, Sports Analytics and Performance, Methane Hydrates and Related Phenomena, Cryospheric studies and observations, Anomaly Detection Techniques and Applications, and Underwater Acoustics Research.

David A. Clausi has contributed numerous papers in prominent publication venues. Their frequent publication venues include:

  • arXiv (Cornell University)
  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • IEEE Transactions on Geoscience and Remote Sensing
  • Remote Sensing
  • IEEE Geoscience and Remote Sensing Letters

Among their recent papers are:

  • "Lake Ice-Water Classification of RADARSAT-2 Images by Integrating IRGS Segmentation with Pixel-Based Random Forest Labeling", 2020, in Remote Sensing
  • "Sea Ice Concentration Estimation: Using Passive Microwave and SAR Data With a U-Net and Curriculum Learning", 2021, in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • "Player tracking and identification in ice hockey", 2022, in Expert Systems with Applications
  • "Evaluation of a Neural Network With Uncertainty for Detection of Ice and Water in SAR Imagery", 2020, in IEEE Transactions on Geoscience and Remote Sensing
  • "Sea-Ice Mapping of RADARSAT-2 Imagery by Integrating Spatial Contexture With Textural Features", 2022, in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Frequent collaborators in their research include Linlin Xu, Yuhao Chen, John Zelek, Alexander Wong, and K. Andrea Scott. These collaborations have resulted in numerous joint publications.

Best Publications

  • An analysis of co-occurrence texture statistics as a function of grey level quantization

    David A Clausi

  • Designing Gabor filters for optimal texture separability

    David A. Clausi;M. Ed Jernigan

  • Lung Nodule Classification Using Deep Features in CT Images

    Devinder Kumar;Alexander Wong;David A. Clausi

  • ARRSI: Automatic Registration of Remote-Sensing Images

    A. Wong;D.A. Clausi

  • Design-based texture feature fusion using Gabor filters and co-occurrence probabilities

    D.A. Clausi;Huang Deng

  • Unsupervised image segmentation using a simple MRF model with a new implementation scheme

    Huawu Deng;David A. Clausi

  • IRGS: Image Segmentation Using Edge Penalties and Region Growing

    Qiyao Yu;D.A. Clausi

  • Unsupervised segmentation of synthetic aperture Radar sea ice imagery using a novel Markov random field model

    Huawu Deng;D.A. Clausi

  • Comparing cooccurrence probabilities and Markov random fields for texture analysis of SAR sea ice imagery

    D.A. Clausi;Bing Yue

  • Intra-retinal layer segmentation in optical coherence tomography images

    Akshaya Mishra;Alexander Wong;Kostadinka Bizheva;David A. Clausi

  • Unsupervised Polarimetric SAR Image Segmentation and Classification Using Region Growing With Edge Penalty

    P. Yu;A. K. Qin;D. A. Clausi

  • Comparison and fusion of co‐occurrence, Gabor and MRF texture features for classification of SAR sea‐ice imagery

    David A. Clausi

  • Sea Ice Concentration Estimation During Melt From Dual-Pol SAR Scenes Using Deep Convolutional Neural Networks: A Case Study

    Lei Wang;K. Andrea Scott;Linlin Xu;David A. Clausi

  • Gaussian MRF rotation-invariant features for image classification

    Huawu Deng;D.A. Clausi

  • General Bayesian estimation for speckle noise reduction in optical coherence tomography retinal imagery

    Alexander Wong;Akshaya Mishra;Kostadinka Bizheva;David A Clausi

  • Unsupervised image segmentation using a simple MRF model with a new implementation scheme

    Huawu Deng;D.A. Clausi

  • Using the Canny edge detector for feature extraction and enhancement of remote sensing images

    M. Ali;D. Clausi

  • Automated Ice–Water Classification Using Dual Polarization SAR Satellite Imagery

    Steven Leigh;Zhijie Wang;David A. Clausi

  • Segmentation of Skin Lesions From Digital Images Using Joint Statistical Texture Distinctiveness

    Jeffrey Glaister;Alexander Wong;David A. Clausi

  • A fast method to determine co-occurrence texture features

    D.A. Clausi;M.E. Jernigan

Frequent Co-Authors

Alexander Wong
Alexander Wong University of Waterloo
Paul Fieguth
Paul Fieguth University of Waterloo
A. K. Qin
A. K. Qin Swinburne University of Technology
Steven L. Waslander
Steven L. Waslander University of Toronto
Samarjit Chakraborty
Samarjit Chakraborty University of North Carolina at Chapel Hill
Lars Kaleschke
Lars Kaleschke Alfred Wegener Institute for Polar and Marine Research
Andrew K. C. Wong
Andrew K. C. Wong University of Waterloo
Gangyao Kuang
Gangyao Kuang National University of Defense Technology

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