Li Ma

发表

Non-rigid point set registration via coherent spatial mapping

Li Ma, Jun Chen, Jiayi Ma, 2015, Signal Process..

Spatial Regularized Local Manifold Learning for Classification of Hyperspectral Images

Xin Yu, Li Ma, Xiaofeng Zhang, 2016, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Generalised supervised local tangent space alignment for hyperspectral image classification

Jinwen Tian, M. Crawford, Li Ma, 2010 .

Low-Rank Representation Based Domain Adaptation for Classification of Remote Sensing Images

Wenjin Wang, Li Ma, Li Ma, 2019, 2019 10th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp).

Spatial and class structure regularized sparse representation graph for semi-supervised hyperspectral image classification

Li Ma, Changxin Gao, Nong Sang, 2018, Pattern Recognit..

Probabilistic class structure regularized sparse representation graph for semi-supervised hyperspectral image classification

Li Ma, Changxin Gao, Nong Sang, 2017, Pattern Recognit..

Local-Manifold-Learning-Based Graph Construction for Semisupervised Hyperspectral Image Classification

Yan Guo, Li Ma, Melba M. Crawford, 2015, IEEE Transactions on Geoscience and Remote Sensing.

Local Manifold Learning-Based $k$ -Nearest-Neighbor for Hyperspectral Image Classification

Li Ma, Melba M. Crawford, Jinwen Tian, 2010, IEEE Transactions on Geoscience and Remote Sensing.

Method of Building Detection in Optical Remote Sensing Images Based on SegFormer

Li Ma, Qing Li, Zhi Liu, 2023, Sensors.

Hyperspectral Anomaly Detection by the Use of Background Joint Sparse Representation

Li Ma, Liangpei Zhang, Hongyan Zhang, 2015, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Combining Multiple Classifiers for Domain Adaptation of Remote Sensing Image Classification

Qian Du, Li Ma, Hongkang Wei, 2021, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Manifold Regularized Distribution Adaptation for Classification of Remote Sensing Images

Li Ma, Chuang Luo, Li Ma, 2018, IEEE Access.

Centroid and Covariance Alignment-Based Domain Adaptation for Unsupervised Classification of Remote Sensing Images

Li Ma, Yong Liu, Melba M. Crawford, 2019, IEEE Transactions on Geoscience and Remote Sensing.

Confident Learning-Based Domain Adaptation for Hyperspectral Image Classification

Yushi Chen, Li Ma, Zhaokui Li, 2022, IEEE Transactions on Geoscience and Remote Sensing.

Class-Wise Distribution Adaptation for Unsupervised Classification of Hyperspectral Remote Sensing Images

Li Ma, Qian Du, Zixu Liu, 2021, IEEE Transactions on Geoscience and Remote Sensing.

Extreme Learning Machine-Based Heterogeneous Domain Adaptation for Classification of Hyperspectral Images

Li Ma, Li Zhou, Li Ma, 2019, IEEE Geoscience and Remote Sensing Letters.

Joint Correlation Alignment-Based Graph Neural Network for Domain Adaptation of Multitemporal Hyperspectral Remote Sensing Images

Qian Du, Li Ma, Wenjin Wang, 2021, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Neighbor Consistency Baced Unsupervised Manifold Alignment for Classification of Remote Sensing Image

Li Ma, Chuang Luo, Li Ma, 2018, 2018 10th IAPR Workshop on Pattern Recognition in Remote Sensing (PRRS).

Deep neural network-based domain adaptation for classification of remote sensing images

Li Ma, Jiazhen Song, Li Ma, 2017 .

Class centroid alignment based domain adaptation for classification of remote sensing images

Li Ma, Lei Zhu, Li Ma, 2016, Pattern Recognit. Lett..

Adaptive classification of hyperspectral images using local consistency

Li Ma, Xiaoyong Bian, Xiaolong Zhang, 2014, J. Electronic Imaging.

Stacked Denoise Autoencoder Based Feature Extraction and Classification for Hyperspectral Images

Xing Chen, Li Ma, Xiaoquan Yang, 2016, J. Sensors.

Oriented Object Detection by Searching Corner Points in Remote Sensing Imagery

Li Ma, Xueqing Chen, Qian Du, 2022, IEEE Geoscience and Remote Sensing Letters.

Unsupervised Manifold Alignment for Cross-Domain Classification of Remote Sensing Images

Qian Du, Jiangtao Peng, Li Ma, 2019, IEEE Geoscience and Remote Sensing Letters.

Exploring Nonlinear Manifold Learning for Classification of Hyperspectral Data

Li Ma, Melba M. Crawford, Wonkook Kim, 2011 .

Iterative Semi-Supervised Manifold Alignment For Hyperspectral Image Classification.

Li Ma, Xingmei Li, Linghui Zhu, 2022, 2022 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS).

Multi-Classifiers Consistency Based Unsupervised Manifold Alignment for Classification of Remote Sensing Images

Li Ma, Xiaobo Liu, Hongkang Wei, 2020, IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium.

Graph-based semi-supervised learning for spectral-spatial hyperspectral image classification

Li Ma, Cai Ju, Andong Ma, 2016, Pattern Recognit. Lett..

Augmented Associative Learning-Based Domain Adaptation for Classification of Hyperspectral Remote Sensing Images

Qian Du, Wenjin Wang, Li Ma, 2020, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Discriminative Transfer Joint Matching for Domain Adaptation in Hyperspectral Image Classification

Qian Du, Weiwei Sun, Li Ma, 2019, IEEE Geoscience and Remote Sensing Letters.

Class-Wise Fully Convolutional Network for Semantic Segmentation of Remote Sensing Images

Tian Tian, Zhengquan Chu, Qian Hu, 2021, Remote. Sens..

Multi-feature based label propagation for semi-supervised classification of hyperspectral data

Li Ma, Andong Ma, Li Ma, 2014, 2014 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).

Anomaly detection for hyperspectral images using local tangent space alignment

Li Ma, Melba M. Crawford, Jinwen Tian, 2010, 2010 IEEE International Geoscience and Remote Sensing Symposium.

Anomaly Detection for Hyperspectral Images Based on Robust Locally Linear Embedding

Li Ma, Melba M. Crawford, Jinwen Tian, 2010 .