Localized dictionary design for geometrically robust sonar ATR

J. McKay, V. Monga, R. Raj

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    4 Scopus citations

    Abstract

    Advancements in Sonar image capture have opened the door to powerful classification schemes for automatic target recognition (ATR). Recent work has particularly seen the application of sparse reconstruction-based classification (SRC) to sonar ATR, which provides compelling accuracy rates even in the presence of noise and blur. However, existing sparsity based sonar ATR techniques assume that the test images exhibit geometric pose that is consistent with respect to the training set. This work addresses the outstanding open challenge of handling inconsistently posed Sonar images relative to training. We develop a new localized block-based dictionary design that can enable geometric robustness. Further, a dictionary learning method is incorporated to increase performance and efficiency. The proposed SRC with Localized Pose Management (LPM), is shown to outperform the state of the art SIFT feature and SVM approach, due to its power to discern background clutter in Sonar images.

    Original languageEnglish (US)
    Title of host publication2016 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 - Proceedings
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages991-994
    Number of pages4
    ISBN (Electronic)9781509033324
    DOIs
    StatePublished - Nov 1 2016
    Event36th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 - Beijing, China
    Duration: Jul 10 2016Jul 15 2016

    Publication series

    NameInternational Geoscience and Remote Sensing Symposium (IGARSS)
    Volume2016-November

    Other

    Other36th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016
    CountryChina
    CityBeijing
    Period7/10/167/15/16

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    All Science Journal Classification (ASJC) codes

    • Computer Science Applications
    • Earth and Planetary Sciences(all)

    Cite this

    McKay, J., Monga, V., & Raj, R. (2016). Localized dictionary design for geometrically robust sonar ATR. In 2016 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 - Proceedings (pp. 991-994). [7729251] (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2016-November). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IGARSS.2016.7729251