"multi-temporal" meaning in All languages combined

See multi-temporal on Wiktionary

Adjective [English]

IPA: /ˌmʌl.tiˈtɛm.pə.ɹəl/
Etymology: From multi- + temporal. Etymology templates: {{affix|en|multi-|temporal}} multi- + temporal Head templates: {{en-adj|-}} multi-temporal (not comparable)
  1. (computer vision, artificial intelligence, robotics) Of, relating to, or specifying multidimensional visual datasets, maps, or environment views captured across multiple distinct points in time, serving as the input corpus for vision-language models or predictive neural architectures to decode structural, environmental, or spatial changes. Tags: not-comparable
    Sense id: en-multi-temporal-en-adj-Wt3WAgkY Categories (other): Artificial intelligence, Robotics, English entries with incorrect language header, English entries with language name categories using raw markup, English entries with topic categories using raw markup, English terms prefixed with multi-, English terms with non-redundant non-automated sortkeys, Pages with 1 entry, Pages with entries, Artificial intelligence, Computer vision Disambiguation of English entries with incorrect language header: 83 17 Disambiguation of English entries with language name categories using raw markup: 82 18 Disambiguation of English entries with topic categories using raw markup: 82 18 Disambiguation of English terms prefixed with multi-: 71 29 Disambiguation of English terms with non-redundant non-automated sortkeys: 75 25 Disambiguation of Pages with 1 entry: 88 12 Disambiguation of Pages with entries: 85 15 Disambiguation of Artificial intelligence: 59 41 Disambiguation of Computer vision: 77 23 Topics: computing, engineering, mathematics, mechanical-engineering, natural-sciences, physical-sciences, robotics, sciences
  2. (machine learning, artificial intelligence) Of or relating to sensory fusion layers, parallel network branches, attention mechanics, or predictive algorithms engineered to model, align, or cross-optimize state embeddings and structural features derived from non-simultaneous temporal sequences. Tags: not-comparable
    Sense id: en-multi-temporal-en-adj-TytfE90H Categories (other): Artificial intelligence, Machine learning
The following are not (yet) sense-disambiguated
Related terms: bi-temporal, spatiotemporal, temporal
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  "etymology_text": "From multi- + temporal.",
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  "lang": "English",
  "lang_code": "en",
  "pos": "adj",
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      "_dis1": "0 0",
      "word": "bi-temporal"
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      "word": "temporal"
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          "name": "Robotics",
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          "ref": "1999, \"Establishing a global forest monitoring capability using multi-resolution and multi-temporal remotely sensed data sets\", The NASA LCLUC Program (USGS Publications Warehouse)",
          "text": "Sample project: establishing a global forest monitoring capability using multi-resolution and multi-temporal remotely sensed data sets..."
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          "ref": "2019, N. C. Mira et al., \"Crop type classification using multi-temporal multispectral data...\", Harvard University (SAO/NASA ADS)",
          "text": "In this paper we aim to exploit the temporal dimension on the crop type classification using multi-temporal multispectral data and machine learning techniques."
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        {
          "ref": "2022, T. Heyer et al., \"The Multi-Temporal Database of Planetary Image...\", Harvard University (SAO/NASA ADS)",
          "text": "Multi-temporal images, i.e., images covering the same surface at different times, are essential for the analysis and understanding of short-term, long-term, and [dynamic surface processes]..."
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      "glosses": [
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      "qualifier": "computer vision; artificial intelligence; computer vision; artificial intelligence",
      "raw_glosses": [
        "(computer vision, artificial intelligence, robotics) Of, relating to, or specifying multidimensional visual datasets, maps, or environment views captured across multiple distinct points in time, serving as the input corpus for vision-language models or predictive neural architectures to decode structural, environmental, or spatial changes."
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      "tags": [
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        "mechanical-engineering",
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        {
          "ref": "2011, \"Table 1 NASA MODIS and other multi-temporal data used...\", ResearchGate",
          "text": "Table 1 NASA MODIS and other multi-temporal data used in the present study."
        },
        {
          "ref": "2019, L. Zhong et al., \"Deep learning based multi-temporal crop classification\", ScienceDirect",
          "text": "In these methods, the sequential relationship of multi-temporal observations was not explicitly considered, which might ignore some useful information in time..."
        },
        {
          "ref": "2024, G. Mugambi et al., \"Multi-Temporal Feature Fusion for Spatial...\", ACM Digital Library",
          "text": "This study focused on combining features extracted from multi-temporal images to create a comprehensive representation..."
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      "ipa": "/ˌmʌl.tiˈtɛm.pə.ɹəl/"
    }
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  "word": "multi-temporal"
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          "ref": "1999, \"Establishing a global forest monitoring capability using multi-resolution and multi-temporal remotely sensed data sets\", The NASA LCLUC Program (USGS Publications Warehouse)",
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        },
        {
          "ref": "2019, N. C. Mira et al., \"Crop type classification using multi-temporal multispectral data...\", Harvard University (SAO/NASA ADS)",
          "text": "In this paper we aim to exploit the temporal dimension on the crop type classification using multi-temporal multispectral data and machine learning techniques."
        },
        {
          "ref": "2022, T. Heyer et al., \"The Multi-Temporal Database of Planetary Image...\", Harvard University (SAO/NASA ADS)",
          "text": "Multi-temporal images, i.e., images covering the same surface at different times, are essential for the analysis and understanding of short-term, long-term, and [dynamic surface processes]..."
        }
      ],
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        "Of, relating to, or specifying multidimensional visual datasets, maps, or environment views captured across multiple distinct points in time, serving as the input corpus for vision-language models or predictive neural architectures to decode structural, environmental, or spatial changes."
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        "(computer vision, artificial intelligence, robotics) Of, relating to, or specifying multidimensional visual datasets, maps, or environment views captured across multiple distinct points in time, serving as the input corpus for vision-language models or predictive neural architectures to decode structural, environmental, or spatial changes."
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        },
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          "ref": "2019, L. Zhong et al., \"Deep learning based multi-temporal crop classification\", ScienceDirect",
          "text": "In these methods, the sequential relationship of multi-temporal observations was not explicitly considered, which might ignore some useful information in time..."
        },
        {
          "ref": "2024, G. Mugambi et al., \"Multi-Temporal Feature Fusion for Spatial...\", ACM Digital Library",
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        "(machine learning, artificial intelligence) Of or relating to sensory fusion layers, parallel network branches, attention mechanics, or predictive algorithms engineered to model, align, or cross-optimize state embeddings and structural features derived from non-simultaneous temporal sequences."
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      "ipa": "/ˌmʌl.tiˈtɛm.pə.ɹəl/"
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  ],
  "word": "multi-temporal"
}

Download raw JSONL data for multi-temporal meaning in All languages combined (4.6kB)


This page is a part of the kaikki.org machine-readable All languages combined dictionary. This dictionary is based on structured data extracted on 2026-09-06 from the enwiktionary dump dated 2026-09-02 using wiktextract (ccec6f1 and 4deed51). The data shown on this site has been post-processed and various details (e.g., extra categories) removed, some information disambiguated, and additional data merged from other sources. See the raw data download page for the unprocessed wiktextract data.

If you use this data in academic research, please cite Tatu Ylonen: Wiktextract: Wiktionary as Machine-Readable Structured Data, Proceedings of the 13th Conference on Language Resources and Evaluation (LREC), pp. 1317-1325, Marseille, 20-25 June 2022. Linking to the relevant page(s) under https://kaikki.org would also be greatly appreciated.