Kangning Cui

According to our database, Kangning Cui authored at least 13 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Superpixel-Based and Spatially Regularized Diffusion Learning for Unsupervised Hyperspectral Image Clustering.

Kangning Cui, Ruoning Li, Sam L. Polk, Yinyi Lin, Hongsheng Zhang, James M. Murphy, Robert J. Plemmons, Raymond H. Chan

IEEE Trans. Geosci. Remote. Sens., 2024

PalmProbNet: A Probabilistic Approach to Understanding Palm Distributions in Ecuadorian Tropical Forest via Transfer Learning.

Kangning Cui, Zishan Shao, Gregory Larsen, Victor Paúl Pauca, Sarra M. Alqahtani, David Segurado, João Pinheiro, Manqi Wang, David A. Lutz, Robert J. Plemmons, Miles Silman

CoRR, 2024

2023

Unsupervised Diffusion and Volume Maximization-Based Clustering of Hyperspectral Images.

Sam L. Polk, Kangning Cui, Aland H. Y. Chan, David A. Coomes, Robert J. Plemmons, James M. Murphy

Remote. Sens., February, 2023

A Global and Patch-wise Contrastive Loss for Accurate Automated Exudate Detection.

Wei Tang, Yinxiao Wang, Kangning Cui, Raymond H. Chan

CoRR, 2023

Dual-View Selective Instance Segmentation Network for Unstained Live Adherent Cells in Differential Interference Contrast Images.

Fei Pan, Yutong Wu, Kangning Cui, Shuxun Chen, Yanfang Li, Yaofang Liu, Adnan Shakoor, Han Zhao, Beijia Lu, Shaohua Zhi, Raymond H. Chan, Dong Sun

CoRR, 2023

2022

Change Detection of Amazonian Alluvial Gold Mining Using Deep Learning and Sentinel-2 Imagery.

Seda Camalan, Kangning Cui, Victor Paúl Pauca, Sarra M. Alqahtani, Miles Silman, Raymond H. Chan, Robert J. Plemmons, Evan Nylen Dethier, Luis E. Fernandez, David A. Lutz

Remote. Sens., 2022

Diffusion and Volume Maximization-Based Clustering of Highly Mixed Hyperspectral Images.

Sam L. Polk, Kangning Cui, Robert J. Plemmons, James M. Murphy

CoRR, 2022

Unsupervised Spatial-Spectral Hyperspectral Image Reconstruction And Clustering With Diffusion Geometry.

Kangning Cui, Ruoning Li, Sam L. Polk, James M. Murphy, Robert J. Plemmons, Raymond H. Chan

Proceedings of the 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2022

Semi-Supervised Change Detection Of Small Water Bodies Using Rgb And Multispectral Images In Peruvian Rainforests.

Kangning Cui, Seda Camalan, Ruoning Li, Victor Paúl Pauca, Sarra M. Alqahtani, Robert J. Plemmons, Miles Silman, Evan Nylen Dethier, David A. Lutz, Raymond H. Chan

Proceedings of the 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2022

Active Diffusion and VCA-Assisted Image Segmentation of Hyperspectral Images.

Sam L. Polk, Kangning Cui, Robert J. Plemmons, James M. Murphy

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Unsupervised Detection of ASH Dieback Disease (Hymenoscyphus Fraxineus) Using Diffusion-Based Hyperspectral Image Clustering.

Sam L. Polk, Aland H. Y. Chan, Kangning Cui, Robert J. Plemmons, David A. Coomes, James M. Murphy

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Classification of Hyperspectral Images Using SVM with Shape-Adaptive Reconstruction and Smoothed Total Variation.

Ruoning Li, Kangning Cui, Raymond H. Chan, Robert J. Plemmons

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021

Unsupervised Classification of Aviris-NG Hyperspectral Images.

Kangning Cui, Robert J. Plemmons

Proceedings of the 11th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2021