Li Ma

Orcid: 0000-0003-3873-5080

Affiliations:
  • China University of Geosciences, School of Mechanical Engineering and Electronic Information, Wuhan, China
  • Huazhong University of Science and Technology, Wuhan, China (PhD 2011)


According to our database1, Li Ma authored at least 28 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Self-Training-Based Unsupervised Domain Adaptation for Object Detection in Remote Sensing Imagery.
IEEE Trans. Geosci. Remote. Sens., 2024

Multilevel Unsupervised Domain Adaptation for Single-Stage Object Detection in Remote Sensing Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

DPP: Scale-Generalization Transformer Based on Dynamic Projection for Pansharpening.
IEEE Geosci. Remote. Sens. Lett., 2024

2023
Supervised Contrastive Learning-Based Unsupervised Domain Adaptation for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2023

Semantic Segmentation Network for Classification of Hyperspectral Images With Small Size Samples.
IEEE Geosci. Remote. Sens. Lett., 2023

2022
Confident Learning-Based Domain Adaptation for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2022

Oriented Object Detection by Searching Corner Points in Remote Sensing Imagery.
IEEE Geosci. Remote. Sens. Lett., 2022

2021
Class-Wise Distribution Adaptation for Unsupervised Classification of Hyperspectral Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2021

Combining Multiple Classifiers for Domain Adaptation of Remote Sensing Image Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Joint Correlation Alignment-Based Graph Neural Network for Domain Adaptation of Multitemporal Hyperspectral Remote Sensing Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

2020
Attention-Based Domain Adaptation Using Residual Network for Hyperspectral Image Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

Augmented Associative Learning-Based Domain Adaptation for Classification of Hyperspectral Remote Sensing Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

2019
Centroid and Covariance Alignment-Based Domain Adaptation for Unsupervised Classification of Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2019

Extreme Learning Machine-Based Heterogeneous Domain Adaptation for Classification of Hyperspectral Images.
IEEE Geosci. Remote. Sens. Lett., 2019

Discriminative Transfer Joint Matching for Domain Adaptation in Hyperspectral Image Classification.
IEEE Geosci. Remote. Sens. Lett., 2019

Unsupervised Manifold Alignment for Cross-Domain Classification of Remote Sensing Images.
IEEE Geosci. Remote. Sens. Lett., 2019

2018
Spatial and class structure regularized sparse representation graph for semi-supervised hyperspectral image classification.
Pattern Recognit., 2018

Manifold Regularized Distribution Adaptation for Classification of Remote Sensing Images.
IEEE Access, 2018

2017
Probabilistic class structure regularized sparse representation graph for semi-supervised hyperspectral image classification.
Pattern Recognit., 2017

2016
Spatial Regularized Local Manifold Learning for Classification of Hyperspectral Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016

Class centroid alignment based domain adaptation for classification of remote sensing images.
Pattern Recognit. Lett., 2016

Graph-based semi-supervised learning for spectral-spatial hyperspectral image classification.
Pattern Recognit. Lett., 2016

2015
Local-Manifold-Learning-Based Graph Construction for Semisupervised Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2015

Selecting Training Samples from Large-Scale Remote-Sensing Samples Using an Active Learning Algorithm.
Proceedings of the Computational Intelligence and Intelligent Systems, 2015

2014
Multi-feature based label propagation for semi-supervised classification of hyperspectral data.
Proceedings of the 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2014

2013
Laplacian support vector machine for hyperspectral image classification by using manifold learning algorithms.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

2010
Local Manifold Learning-Based k -Nearest-Neighbor for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2010

Anomaly detection for hyperspectral images using local tangent space alignment.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010


  Loading...