Yanni Dong

发表

Maximum margin metric learning based target detection for hyperspectral images

Bo Du, Yanni Dong, Liangpei Zhang, 2015 .

Species shift and multidrug resistance of Campylobacter from chicken and swine, China, 2008-14.

Jianzhong Shen, Yanni Dong, Qijing Zhang, 2016, The Journal of antimicrobial chemotherapy.

Spatial-Spectral Joint Reconstruction with Inter-band Correlation for Hyperspectral Anomaly Detection

Bo Du, Yanni Dong, L. Zhang, 2022, IEEE Transactions on Geoscience and Remote Sensing.

Asymmetric Weighted Logistic Metric Learning for Hyperspectral Target Detection

W. Shi, Liang-pei Zhang, Bo Du, 2021, IEEE Transactions on Cybernetics.

On the main distance-based entropies: the eccentricity- and Wiener-entropy

Yanni Dong, Stijn Cambie, 2022, 2208.12209.

Semisupervised Classification Based on SLIC Segmentation for Hyperspectral Image

Ke Wu, Yuxiang Zhang, Kang Liu, 2020, IEEE Geoscience and Remote Sensing Letters.

Graphs with minimum degree-based entropy pdf

Shenggui Zhang, Maximilien Gadouleau, Yanni Dong, 2021, ArXiv.

Weighted Feature Fusion of Convolutional Neural Network and Graph Attention Network for Hyperspectral Image Classification

Bo Du, Yanni Dong, L. Zhang, 2022, IEEE Transactions on Image Processing.

Collaborative-guided spectral abundance learning with bilinear mixing model for hyperspectral subpixel target detection

Bo Du, Yanni Dong, Meiqi Hu, 2023, Neural Networks.

Target Detection Based on Random Forest Metric Learning

Bo Du, Liangpei Zhang, Yanni Dong, 2015, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Deep Metric Learning with Online Hard Mining for Hyperspectral Classification

Yuxiang Zhang, Yanni Dong, Cong Yang, 2021, Remote. Sens..

A Fast Dynamic Graph Convolutional Network and CNN Parallel Network for Hyperspectral Image Classification

Yanni Dong, Hui Luo, Yuxiang Zhang, 2022, IEEE Transactions on Geoscience and Remote Sensing.

Hyperspectral Target Detection via Adaptive Information - Theoretic Metric Learning with Local Constraints

Bo Du, Liangpei Zhang, Xiangyun Hu, 2018, Remote. Sens..

Mapping geochemical anomalies related to Fe–polymetallic mineralization using the maximum margin metric learning method

Renguang Zuo, Yanni Dong, Ziye Wang, 2019, Ore Geology Reviews.

Target Detection with Spatial-Spectral Adaptive Sample Generation and Deep Metric Learning for Hyperspectral Imagery

Yanni Dong, L. Zhang, Bo Du, 2022, IEEE Transactions on Multimedia.

Mapping Geochemical Anomalies Through Integrating Random Forest and Metric Learning Methods

Renguang Zuo, Yanni Dong, Ziye Wang, 2019, Natural Resources Research.

Mapping Himalayan leucogranites using a hybrid method of metric learning and support vector machine

Renguang Zuo, Yanni Dong, Ziye Wang, 2020, Comput. Geosci..

Spectral–Spatial Weighted Kernel Manifold Embedded Distribution Alignment for Remote Sensing Image Classification

Bo Du, Yanni Dong, Tianyang Liang, 2020, IEEE Transactions on Cybernetics.

Enhanced Spectral–Spatial Residual Attention Network for Hyperspectral Image Classification

Ke Wu, Yanni Dong, Yanting Zhan, 2022, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Self-Supervised Pretraining via Multimodality Images With Transformer for Change Detection

Yang Zhao, Yanni Dong, Yuxiang Zhang, 2023, IEEE Transactions on Geoscience and Remote Sensing.

Dimensionality Reduction and Classification of Hyperspectral Images Using Ensemble Discriminative Local Metric Learning

Bo Du, Liangpei Zhang, Lefei Zhang, 2017, IEEE Transactions on Geoscience and Remote Sensing.

Mapping of Himalaya Leucogranites Based on ASTER and Sentinel-2A Datasets Using a Hybrid Method of Metric Learning and Random Forest

Renguang Zuo, Yanni Dong, Ziye Wang, 2020, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Exploring Locally Adaptive Dimensionality Reduction for Hyperspectral Image Classification: A Maximum Margin Metric Learning Aspect

Bo Du, Liangpei Zhang, Lefei Zhang, 2017, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Joint Sparse Representation and Multitask Learning for Hyperspectral Anomaly Detection

Ke Wu, Tao Chen, Yanni Dong, 2020, IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium.

Analysis of Temporal and Spatial Characteristics of Urban Expansion in Xiaonan District from 1990 to 2020 Using Time Series Landsat Imagery

Renguang Zuo, Yan Liu, Yanni Dong, 2021, Remote. Sens..

Hyperspectral Anomaly Detection With Otsu-Based Isolation Forest

Ke Wu, Tao Chen, Yuxiang Zhang, 2021, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Joint Distance Transfer Metric Learning for Remote-Sensing Image Classification

Yanni Dong, Tianyang Liang, Hui Luo, 2022, IEEE Geoscience and Remote Sensing Letters.

Extremal values of degree-based entropies of bipartite graphs

Yanni Dong, Stijn Cambie, Yan-xia Dong, 2022, 2206.00922.

Adapting Vision Transformer for Efficient Change Detection

Yanni Dong, Yuxiang Zhang, Yang Zhao, 2023, arXiv.org.

Multiview Learning for Impervious Surface Mapping Using High-Resolution Multispectral Imagery and LiDAR Data

Yanni Dong, Hui Luo, Yuxiang Zhang, 2023, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Multilevel Spatial Feature-Based Manifold Metric Learning for Domain Adaptation in Remote Sensing Image Classification

Yanni Dong, Xuexiang Qin, Xue Li, 2023, IEEE Transactions on Geoscience and Remote Sensing.

Attention-Based Dynamic Alignment and Dynamic Distribution Adaptation for Remote Sensing Cross-Domain Scene Classification

Bo Du, Yanni Dong, L. Zhang, 2022, IEEE Transactions on Geoscience and Remote Sensing.

A Deep Cross-Modal Fusion Network for Road Extraction With High-Resolution Imagery and LiDAR Data

Yanni Dong, Bo Du, Hui Luo, 2024, IEEE Transactions on Geoscience and Remote Sensing.

Confidence-Driven Region Mixing for Optical Remote Sensing Domain Adaptation Object Detection

Yanni Dong, Yuxiang Zhang, Xue Li, 2024, IEEE Transactions on Geoscience and Remote Sensing.