Browsing by Author "Varho, Juuso"

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    Assessment of standard definition data for high definition convolutional neural network for visual flaw detection
    (2023-12-12) Varho, Juuso; Virkkunen, Iikka; Perustieteiden korkeakoulu; Hyvönen, Nuutti
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    EODIE — Earth Observation Data Information Extractor
    (Elsevier, 2023-07) Wittke, Samantha; Fouilloux, Anne; Lehti, Petteri; Varho, Juuso; Kivimäki, Arttu; Karhu, Maiju; Karjalainen, Mika; Vaaja, Matti; Puttonen, Eetu; Department of Built Environment; University of Oslo; Department of Applied Physics; National Land Survey of Finland; Department of Built Environment; Department of Applied Physics
    Remote sensing satellites provide a vast amount of data to monitor and observe Earth's surface and events on it. To use these data efficiently in subsequent analysis and decision-making, highly automated easy-to-use tools are needed. Here, we present Earth Observation Data Information Extractor (EODIE). EODIE is a toolkit to extract object-level time-series information from several multispectral satellite remote sensing platforms and to produce analysis-ready products for subsequent data analysis. EODIE has a modular design that makes it adjustable for end-user requirements. Users have a possibility to exchange and add modules in EODIE for flexible processing in different computing environments. With EODIE, remote sensing data can be processed to object level array, geotiff or statistics information of different (vegetation) indices or plain wavelength intervals.