Remote sensing benchmarks

1 papers in the last 7 days · 5 of its 6 datasets mentioned

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

Key findings#

Datasets in the category “Remote sensing benchmarks” were mentioned in 8 papers in the last 30 days (2026-09-27 to 2026-10-26), ranking #38 of the 58 data categories mentioned.
The most-mentioned were Salinas (3), Scene classification (NWPU-RESISC45, UC Merced, AID) (2), DOTA / xView (1), Houston 2013 / 2018 (1) and Pavia University / Pavia Centre (1).
By journal category: AI (6), Management (1) and Operations Research (1).
Most of them appeared in Pattern Recognition (1), Neural Networks (1) and Neural Computing and Applications (1).

Datasets#

Datasets in this category · 2026-09-27 – 2026-10-26 (30 days)
Dataset	Papers	Last 7 days	Names searched for
Salinas	3	0	Salinas scene, Salinas dataset, Salinas Valley, Salinas-A
Scene classification (NWPU-RESISC45, UC Merced, AID)	2	0	NWPU-RESISC45, RESISC45, UC Merced Land Use, UCMerced, Aerial Image Dataset
DOTA / xView	1	0	DOTA dataset, DOTA-v1, xView, DOTA
Houston 2013 / 2018	1	1	Houston 2013, Houston2013, Houston 2018, Houston2018
Pavia University / Pavia Centre	1	0	Pavia University, Pavia Centre, Pavia Center
Indian Pines	0	0	Indian Pines

Papers mentioning these datasets, newest first.
Date	Title	Journal	Authors	Affiliations	Datasets mentioned
2026-10-23	MET-FR: Mamba-enhanced Transformer with feature rectification for hyperspectral and LiDAR data fusion and classification	Pattern Recognition	Yining Feng, Wei Cheng, Zhenhua Mu et al.	Dalian University; Liaoning Normal University	Houston 2013 / 2018
2026-10-01	Semantic-Spatial Synergy Feature Pyramid Network for Dense Tiny Object Detection from UAV Images	Neural Networks	Zeyuan Liu, He Huang, Kaibing Zhang et al.	Chang'an University; Xi'an Polytechnic University	DOTA / xView
2026-10-01	HydraML: a hybrid damaged roofs automated machine learning classifier for cultural heritage	Neural Computing and Applications	Francesco Colace, Massimo De Santo, Rosario Gaeta et al.	University of Salerno; Ministero della cultura	Scene classification (NWPU-RESISC45, UC Merced, AID)
2026-10-01	How sustainability affects financial brand value: A decision matrix for CMOs and CFOs	European Management Journal	Gabriela Salinas, Carmen Abril	Universidad Pontificia Comillas; Universidad Complutense de Madrid	Salinas
2026-10-01	Dynamic clustering for channel pruning guided by deep reinforcement learning	Knowledge-Based Systems	Boxiao Wang, Jin Qian, Dongdong Xu et al.	Chinese Academy of Sciences; Changchun Institute of Optics, Fine Mechanics and Physics; University of Chinese Academy of Sciences	Scene classification (NWPU-RESISC45, UC Merced, AID)
2026-09-30	ASSMamba: Prototype-conditioned spectral routing and direction-aware state-space learning for hyperspectral image classification	Expert Systems with Applications	Lei Zhu, Yikai Su, Liang Dong et al.		Pavia University / Pavia Centre
2026-09-28	Self-Organized Context Dependent Processing in Neural Networks	Cognitive Computation	Hao GuangFu, Yang Chen, Sainan Qin et al.	Chinese Academy of Sciences; Institute of Automation; University of Chinese Academy of Sciences; …	Salinas
2026-09-28	Simulation-driven multi-objective optimization for charging-aware AMR navigation in dynamic manufacturing environments	Computers & Industrial Engineering	Kotomichi Matsuno, Haoyu Liu, Kuo‐Yi Lin	Rissho University; University of Birmingham; Waseda University	Salinas

Cite this page

Scholar4AI. (2026). Remote sensing benchmarks. Journal Research Rankings. Retrieved October 26, 2026, from https://scholar4ai.com/datasets/remote-sensing-benchmarks

@misc{scholar4ai-datasets-remote-sensing-benchmarks,
  author = {{Scholar4AI}},
  title = {Remote sensing benchmarks},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/datasets/remote-sensing-benchmarks}},
  urldate = {2026-10-26},
  note = {Journal 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).