Yuebin Wang

According to our database1, Yuebin Wang authored at least 13 papers between 2014 and 2019.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2019
Self-Supervised Feature Learning With CRF Embedding for Hyperspectral Image Classification.
IEEE Trans. Geoscience and Remote Sensing, 2019

PSASL: Pixel-Level and Superpixel-Level Aware Subspace Learning for Hyperspectral Image Classification.
IEEE Trans. Geoscience and Remote Sensing, 2019

2018
LRAGE: Learning Latent Relationships With Adaptive Graph Embedding for Aerial Scene Classification.
IEEE Trans. Geoscience and Remote Sensing, 2018

Self-Supervised Low-Rank Representation (SSLRR) for Hyperspectral Image Classification.
IEEE Trans. Geoscience and Remote Sensing, 2018

Joint Margin, Cograph, and Label Constraints for Semisupervised Scene Parsing From Point Clouds.
IEEE Trans. Geoscience and Remote Sensing, 2018

2017
Learning a Discriminative Distance Metric With Label Consistency for Scene Classification.
IEEE Trans. Geoscience and Remote Sensing, 2017

A feature extraction and similarity metric-learning framework for urban model retrieval.
International Journal of Geographical Information Science, 2017

3DCNN-DQN-RNN: A Deep Reinforcement Learning Framework for Semantic Parsing of Large-Scale 3D Point Clouds.
Proceedings of the IEEE International Conference on Computer Vision, 2017

2016
A Multilevel Point-Cluster-Based Discriminative Feature for ALS Point Cloud Classification.
IEEE Trans. Geoscience and Remote Sensing, 2016

A Three-Layered Graph-Based Learning Approach for Remote Sensing Image Retrieval.
IEEE Trans. Geoscience and Remote Sensing, 2016

A Three-Step Approach for TLS Point Cloud Classification.
IEEE Trans. Geoscience and Remote Sensing, 2016

2015
A Gestalt rules and graph-cut-based simplification framework for urban building models.
Int. J. Applied Earth Observation and Geoinformation, 2015

2014
A Structure-Aware Global Optimization Method for Reconstructing 3-D Tree Models From Terrestrial Laser Scanning Data.
IEEE Trans. Geoscience and Remote Sensing, 2014


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