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RANSACing Optical Image Sequences for GEO and near-GEO Objects

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F13%3A00212551" target="_blank" >RIV/68407700:21230/13:00212551 - isvavai.cz</a>

  • Result on the web

    <a href="http://www.amostech.com/TechnicalPapers/2013/POSTER/SARA.pdf" target="_blank" >http://www.amostech.com/TechnicalPapers/2013/POSTER/SARA.pdf</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    RANSACing Optical Image Sequences for GEO and near-GEO Objects

  • Original language description

    This paper describes statistical models and an efficient Monte-Carlo algorithm for detecting tracks of slowly moving objects in optical telescope imagery sequences. The algorithm is based on accurate robust image pre-registration with respect to the starbackground, hot/warm pixel suppression, extracting dense normalized local image features, pixelwise statistical event detection, segmentation of event maps to putative image primitives, and finding consistent track sequences composed of the image primitives. Good performance at low SNR and robustness of detection with respect to fast or slow-moving thin overhead clouds is achieved by an event detection model which requires collecting at least 10 images of a particular spatial direction. The method doesnot degrade due to an accumulation of acquisition artifacts if more images are available. The track sequence detection method is similar in spirit to LINE [Yanagisawa et al, T JPN SOC AERONAUT S 2012]. The detection is performed by the R

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JD - Use of computers, robotics and its application

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GAP103%2F12%2F1578" target="_blank" >GAP103/12/1578: Structural and Semantic Modeling of Architecture as a Digital Image Interpretation Problem</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2013

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the Advanced Maui Optical and Space Surveillance Technologies Conference

  • ISBN

  • ISSN

    2152-4629

  • e-ISSN

  • Number of pages

    10

  • Pages from-to

    924-933

  • Publisher name

    Maui Economic Development Board

  • Place of publication

    Kihei

  • Event location

    Maui

  • Event date

    Sep 10, 2013

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article