Search Results - "Klaric, Matthew"

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  1. 1

    Entropy-Balanced Bitmap Tree for Shape-Based Object Retrieval From Large-Scale Satellite Imagery Databases by Scott, G J, Klaric, M N, Davis, C H, Chi-Ren Shyu

    “…In this paper, we present a novel indexing structure that was developed to efficiently and accurately perform content-based shape retrieval of objects from a…”
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    Journal Article
  2. 2

    Predicting Relevant Change in High Resolution Satellite Imagery by Klaric, Matthew

    “…With the ever increasing volume of remote sensing imagery collected by satellite constellations and aerial platforms, the use of automated techniques for…”
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    Journal Article
  3. 3

    Multi-Index Multi-Object Content-Based Retrieval by Klaric, M. N., Scott, G. J., Chi-Ren Shyu

    “…In many large-scale content-based retrieval (CBR) applications, the input to the search process is a complex query that may be composed of several constituent…”
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    Journal Article
  4. 4

    Clustering of Detected Changes in High-Resolution Satellite Imagery Using a Stabilized Competitive Agglomeration Algorithm by Sjahputera, O., Scott, G. J., Claywell, B. C., Klaric, M. N., Hudson, N. J., Keller, J. M., Davis, C. H.

    “…The Geospatial Change Detection and exploitation (GeoCDX) is a fully automated system for detection and exploitation of change between multitemporal…”
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    Journal Article Conference Proceeding
  5. 5

    GeoCDX: An Automated Change Detection and Exploitation System for High-Resolution Satellite Imagery by Klaric, M. N., Claywell, B. C., Scott, G. J., Hudson, N. J., Sjahputera, O., Yonghong Li, Barratt, S. T., Keller, J. M., Davis, C. H.

    “…We have developed a fully automated system for change detection of high-resolution satellite imagery. Our system, GeoCDX, is sensor-agnostic,…”
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    Journal Article
  6. 6
  7. 7

    Multi-index, Multi-object Content-based Retrieval with Spatial Summarization by Klaric, Matthew

    Published 01-01-2010
    “…In recent years we have seen the development of several novel content-based retrieval (CBR) systems that have had success by focusing on a specific domain and…”
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    Dissertation
  8. 8

    Overhead Detection: Beyond 8-bits and RGB by Mace, Eliza, Manville, Keith, Barbu-McInnis, Monica, Laielli, Michael, Klaric, Matthew, Dooley, Samuel

    Published 07-08-2018
    “…Naval Applications of Machine Learning, February 13, 2018 This study uses the challenging and publicly available SpaceNet dataset to establish a performance…”
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    Journal Article
  9. 9

    xView: Objects in Context in Overhead Imagery by Lam, Darius, Kuzma, Richard, McGee, Kevin, Dooley, Samuel, Laielli, Michael, Klaric, Matthew, Bulatov, Yaroslav, McCord, Brendan

    Published 21-02-2018
    “…We introduce a new large-scale dataset for the advancement of object detection techniques and overhead object detection research. This satellite imagery…”
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    Journal Article