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Remote-Sensing Image Classification
TopicLeading institutions, researchers & key papers
This cluster of papers focuses on the advances in hyperspectral image analysis, remote sensing, and classification. It covers topics such as deep learning, change detection, spectral unmixing, feature extraction, and object-based analysis for remote sensing applications.
155
Works
IDs:OpenAlex
How has Remote-Sensing Image Classification's publication output changed over time?
ScholarIQpublication output · 2012–2024
Output grew0% over the shown period — from 1 works in 2012 to 1 in 2024.
1
1
2
3
1
2
2
1
1
1
2012201420162017201820192020202120232024
What are the most-cited papers on Remote-Sensing Image Classification?
ScholarIQmost cited works
Deep Feature Extraction and Classification of Hyperspectral Images Based on Convolutional Neural Networks
Yushi Chen, Hanlu Jiang, Chunyang Li, Xiuping Jia, Pedram Ghamisi
S111326731. 20162,939 Citations
Deep Recurrent Neural Networks for Hyperspectral Image Classification
Lichao Mou, Pedram Ghamisi, Xiao Xiang Zhu
S111326731. 20171,369 Citations
SNUNet-CD: A Densely Connected Siamese Network for Change Detection of VHR Images
Sheng Fang, Kaiyu Li, J. Shao, Zhe Li
S126920919. 20211,082 Citations
Support Vector Machine Versus Random Forest for Remote Sensing Image Classification: A Meta-Analysis and Systematic Review
Mohammadreza Sheykhmousa, Masoud Mahdianpari, Hamid Ghanbari, Fariba Mohammadimanesh, Pedram Ghamisi, Saeid Homayouni
S117727964. 20201,073 CitationsOPEN ACCESS
Advances in Hyperspectral Image and Signal Processing: A Comprehensive Overview of the State of the Art
Pedram Ghamisi, Naoto Yokoya, Jun Li, Wenzhi Liao, Sicong Liu, Javier Plaza, Behnood Rasti, Antonio Plaza
S2491948244. 2017866 Citations
Where is Remote-Sensing Image Classification research published, and who funds it?
ScholarIQvenues & funding sources
TOP JOURNALS
S1113267316,331
S1269209191,563
S24919482441,531
S1177279641,073
S199944782742
TOP FUNDERS
National Science Foundation—
NIH—
Wellcome Trust—
European Research Council—
Funder breakdown is a member featureSign up free to unlock
How much of the research on Remote-Sensing Image Classification is open access?
ScholarIQopen access share
33%OPEN ACCESS
Gold
13%
Green
20%
Hybrid
0%
Bronze
0%
Closed
67%
Related on ScholarIQ
Deep Feature Extraction and Classification of Hyperspectral Images Based on Convolutional Neural Networks
Paper
Deep Recurrent Neural Networks for Hyperspectral Image Classification
Paper
SNUNet-CD: A Densely Connected Siamese Network for Change Detection of VHR Images
Paper
Support Vector Machine Versus Random Forest for Remote Sensing Image Classification: A Meta-Analysis and Systematic Review
Paper
Advances in Hyperspectral Image and Signal Processing: A Comprehensive Overview of the State of the Art
Paper
SpectralGPT: Spectral Remote Sensing Foundation Model
Paper