---
title: "Salinas: tasks, downloads and usage conditions"
description: "Salinas: compare tasks, official access, usage conditions and evaluation. Includes research-paper mention counts and trends."
url: https://scholar4ai.com/datasets/salinas
markdown_url: https://scholar4ai.com/datasets/salinas.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "Salinas: compare tasks, official access, usage conditions and evaluation. Includes research-paper mention counts and trends. (as of 2026-11-05)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-11-05T06:02:37+09:00
window: 2026-10-07 to 2026-11-05
source: OpenAlex (CC0)
---

# Salinas

[Browse dataset profiles](https://scholar4ai.com/datasets/directory/page/6.md)

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

- data category: Remote sensing benchmarks
- 0 papers in the last 7 days
- Names searched for: Salinas scene, Salinas hyperspectral, Salinas-A scene

Most-used data: https://scholar4ai.com/rankings/datasets.md · All Remote sensing benchmarks datasets: https://scholar4ai.com/datasets/remote-sensing-benchmarks.md

## 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 / version | Task and evaluation | Access and preparation | Usage conditions |
|---|---|---|---|
| Salinas | AVIRIS hyperspectral agricultural-scene classification. Evaluation: Use reported spatial splits and per-class accuracy; full-scene and cropped-scene results differ. | [Official source / documentation](https://www.ehu.eus/ccwintco/index.php?title=Hyperspectral_Remote_Sensing_Scenes) 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)*

| Trend | Nov 23–Oct 24 | Nov 24–Oct 25 | Nov 25–Oct 26 | 36 months |
|---|---:|---:|---:|---:|
|  | 1 | 1 | 0 | 2 |

## Papers per year

*Papers per publication year and category*

| Category | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 (so far) |
|---|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|
| [AI](https://scholar4ai.com/categories/ai.md) | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 0 |
| All categories | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 0 |

## Where the papers come from

*Journals with the most papers, since 2023*

| # | Journal | Papers |
|---:|---|---:|
| 1 | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 1 |
| 2 | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 1 |
| 3 | [IEEE Transactions on Neural Networks and Learning Systems](https://scholar4ai.com/journals/ieee-transactions-on-neural-networks-and-learning-systems.md) | 1 |

*Institutions with the most papers, since 2023*

| # | Institution | Papers |
|---:|---|---:|
| 1 | Astronomical Observatory of Capodimonte | 1 |
| 2 | Bartin University | 1 |
| 3 | [Centre National de la Recherche Scientifique](https://scholar4ai.com/institutions/centre-national-de-la-recherche-scientifique.md) | 1 |
| 4 | [Hong Kong Baptist University](https://scholar4ai.com/institutions/hong-kong-baptist-university.md) | 1 |
| 5 | Institut Systèmes Intelligents et de Robotique | 1 |
| 6 | Istituto Nazionale di Fisica Nucleare, Sezione di Napoli | 1 |
| 7 | Max Planck Institute for Evolutionary Anthropology | 1 |
| 8 | National Institute for Astrophysics | 1 |
| 9 | National University of Computer and Emerging Sciences | 1 |
| 10 | [National University of Defense Technology](https://scholar4ai.com/institutions/national-university-of-defense-technology.md) | 1 |

*Countries with the most papers, since 2023*

| # | Country | Papers |
|---:|---|---:|
| 1 | Australia | 1 |
| 2 | China | 1 |
| 3 | Germany | 1 |
| 4 | France | 1 |
| 5 | Hong Kong | 1 |
| 6 | Italy | 1 |
| 7 | Netherlands | 1 |
| 8 | Pakistan | 1 |
| 9 | Turkey | 1 |

*Keywords with the most papers, since 2023*

| # | Keyword | Papers |
|---:|---|---:|
| 1 | remote sensing | 2 |
| 2 | 3D convolution | 1 |
| 3 | Indian Pines | 1 |
| 4 | PRISMA satellite | 1 |
| 5 | Salinas | 1 |
| 6 | SegFormer | 1 |
| 7 | University of Pavia | 1 |
| 8 | adversarial defense | 1 |
| 9 | [adversarial robustness](https://scholar4ai.com/keywords/adversarial-robustness.md) | 1 |
| 10 | diagnostic imaging | 1 |

## Most-cited papers

*Most-cited papers since 2017*

| # | Citations | Per month | Title | Journal | Published | Authors |
|---:|---:|---:|---|---|---|---|
| 1 | 82 | 2.2 | [Current advances in imaging spectroscopy and its state-of-the-art applications](https://doi.org/10.1016/j.eswa.2023.122172) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 2023-10-16 | Anam Zahra, Rizwan Qureshi, Muhammad Sajjad et al. |
| 2 | 13 | 0.4 | [Masked Spatial–Spectral Autoencoders Are Excellent Hyperspectral Defenders](https://doi.org/10.1109/tnnls.2023.3345734) | [IEEE Transactions on Neural Networks and Learning Systems](https://scholar4ai.com/journals/ieee-transactions-on-neural-networks-and-learning-systems.md) | 2024-01-01 | Jiahao Qi, Zhiqiang Gong, Xingyue Liu et al. |
| 3 | 2 | 0.1 | [AMBER: advanced SegFormer for multi-band image segmentation—an application to hyperspectral imaging](https://doi.org/10.1007/s00521-025-11315-1) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 2025-05-30 | Andrea Dosi, M. Brescia, S. Cavuoti et al. |

## Cite this page

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

```bibtex
@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}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).