Outdoor Scene Classification

Outdoor Scene Classification is a subfield of scene classification in computer vision that specifically involves the categorization of images or visual data into predefined semantic classes based on the dominant outdoor environment depicted, such as forests, urban streets, or beaches, thereby distinguishing it from indoor or mixed-scene classification tasks.

53

Publications

2.2K

Citations

143

Authors

79

Institutions

Publications per year

2017–2026

10

Authors

143

  1. JL
    Jiebo Luo

    University of Rochester, United States

    5 publications · 159 citations

    5

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  2. MB
    Matthew Boutell

    University of Rochester, United States

    5 publications · 163 citations

    5

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  3. AS
    Andreas Savakis

    Rochester Institute of Technology, United States

    3 publications · 31 citations

    3

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  4. DL
    Di Lin

    Tianjin University, China

    2 publications · 169 citations

    2

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  5. BT
    BT Thomas

    University of Bristol, United Kingdom

    2 publications · 49 citations

    2

    h-index

1–5 of 143

Venues

  1. 3

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  3. 2

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  4. IEEE Access

    1 publications · 13 citations

    1

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  5. IEEE Geoscience and Remote Sensing Letters

    GRSL · 1 publications · 13 citations

    1

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1–5