Scholar4AI Updated 2026-11-05 06:02 UTC+09:00

Salinas

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data category: Remote sensing benchmarks · 0 papers in the last 7 days

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Hyperspectral and aerial image collections used to compare classification and detection methods.

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Names searched for: Salinas scene, Salinas hyperspectral, Salinas-A scene

Tasks, access and usage conditions#

Mention counts below measure name matches in tracked papers, not benchmark quality or downloads. A family count can cover multiple datasets; it is not a separate count for each comparison row. Choose a task and version first, preserve evaluation splits, and follow the linked release terms. The site's content license does not replace the datasets' own terms.

Dataset comparison: tasks, access and usage conditions
Dataset / versionTask and evaluationAccess and preparationUsage conditions
SalinasAVIRIS hyperspectral agricultural-scene classification.

Evaluation: Use reported spatial splits and per-class accuracy; full-scene and cropped-scene results differ.

Official source / documentation

Choose full Salinas or Salinas-A; record bands removed and ground truth.

Confirm source-scene and label terms with the provider before redistribution.

Guide updated 2026-11-05.

Key findings#

  • From Nov 2023 to Oct 2026, 2 archived papers mentioned Salinas in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Jan 2024 (1).
  • No paper of the tracked journals mentioned Salinas in the last 30 days (2026-10-07 to 2026-11-05).
  • From 2017 to 2026 (so far), Salinas was mentioned in 4 papers in the tracked journals, most of them in AI (4).
  • 1 of them were published in 2025, against 0 in 2017.
  • Since 2023, the institutions with the most of these papers were Astronomical Observatory of Capodimonte (1), Bartin University (1) and Centre National de la Recherche Scientifique (1).
  • The journals publishing most of them were Neural Computing and Applications (1), Expert Systems with Applications (1) and IEEE Transactions on Neural Networks and Learning Systems (1).
  • The most-cited of them is “Current advances in imaging spectroscopy and its state-of-the-art applications” (Expert Systems with Applications, 2023), with 82 citations.

Mentions over 36 months#

Papers mentioning it by publication month, Nov 2023 to Oct 2026 (titles, abstracts and keywords; the full texts of earlier months are still being searched)
TrendNov 23–Oct 24Nov 24–Oct 25Nov 25–Oct 2636 months
1102

Papers per year#

2017: 0 papers2018: 0 papers2019: 1 paper2020: 0 papers2021: 0 papers2022: 0 papers2023: 1 paper2024: 1 paper2025: 1 paper2026 (so far): 0 papers
20172026 (so far)
Papers per publication year and category
Category2017201820192020202120222023202420252026 (so far)
AI0010001110
All categories0010001110

Where the papers come from#

Institutions with the most papers, since 2023
#InstitutionPapers
1Astronomical Observatory of Capodimonte1
2Bartin University1
3Centre National de la Recherche Scientifique1
4Hong Kong Baptist University1
5Institut Systèmes Intelligents et de Robotique1
6Istituto Nazionale di Fisica Nucleare, Sezione di Napoli1
7Max Planck Institute for Evolutionary Anthropology1
8National Institute for Astrophysics1
9National University of Computer and Emerging Sciences1
10National University of Defense Technology1
Countries with the most papers, since 2023
#CountryPapers
1Australia1
2China1
3Germany1
4France1
5Hong Kong1
6Italy1
7Netherlands1
8Pakistan1
9Turkey1
Keywords with the most papers, since 2023
#KeywordPapers
1remote sensing2
23D convolution1
3Indian Pines1
4PRISMA satellite1
5Salinas1
6SegFormer1
7University of Pavia1
8adversarial defense1
9adversarial robustness1
10diagnostic imaging1

Most-cited papers#

Most-cited papers since 2017
#CitationsPer monthTitleJournalPublishedAuthors
1822.2Current advances in imaging spectroscopy and its state-of-the-art applicationsExpert Systems with Applications2023-10-16Anam Zahra, Rizwan Qureshi, Muhammad Sajjad et al.
2130.4Masked Spatial–Spectral Autoencoders Are Excellent Hyperspectral DefendersIEEE Transactions on Neural Networks and Learning Systems2024-01-01Jiahao Qi, Zhiqiang Gong, Xingyue Liu et al.
320.1AMBER: advanced SegFormer for multi-band image segmentation—an application to hyperspectral imagingNeural Computing and Applications2025-05-30Andrea Dosi, M. Brescia, S. Cavuoti et al.

Archive counts by publication year: a paper counts when its title, abstract or keywords name the dataset, or when OpenAlex's full-text search finds it there (searched for the last 30 days' papers and, by a pass over the past years, for older ones). Names added to the list later are looked for in older papers as the archive is read again.

Cite this page

Scholar4AI. (2026). Salinas. Journal and Conference Research Rankings. Retrieved November 5, 2026, from https://scholar4ai.com/datasets/salinas

@misc{scholar4ai-datasets-salinas,
  author = {{Scholar4AI}},
  title = {Salinas},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/datasets/salinas}},
  urldate = {2026-11-05},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

Free to reuse for non-commercial purposes with attribution (CC BY-NC 4.0).