Chang Liu

According to our database, Chang Liu authored at least 11 papers between 2021 and 2024.

Collaborative distances:

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

2024

Channel Attention and Normal-Based Local Feature Aggregation Network (CNLNet): A Deep Learning Method for Predisaster Large-Scale Outdoor Lidar Semantic Segmentation.

Chang Liu, Linlin Ge, Wei Xiang, Zheyuan Du, Qi Zhang

IEEE Trans. Geosci. Remote. Sens., 2024

2023

Dielectric Fluctuation and Random Motion over Ground Model (DF-RMoG): An Unsupervised Three-Stage Method of Forest Height Estimation Considering Dielectric Property Changes.

Chang Liu, Qi Zhang, Linlin Ge, Samad M. E. Sepasgozar, Ziheng Sheng

Remote. Sens., April, 2023

Flood Assessment and Mapping Based on SAR and QUAV Vertical Remote Sensing Framework: A Case Study of 2022 Australia Moama Floods.

Ziheng Sheng, Linlin Ge, Chen Li, Ting Bai, Chang Liu, Yunhao Wu, Qi Zhang

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

The Influence of Changing Features on the Accuracy of Deep Learning-Based Large-Scale Outdoor Lidar Semantic Segmentation.

Chang Liu, Qi Zhang, Sara Shirowzhan, Ting Bai, Ziheng Sheng, Yunhao Wu, Jianming Kuang, Linlin Ge

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Using Multi-Temporal Optical Remote Sensing Images For Monitoring Post-Failure Evolution Of The Aniangzhai Landslide In Danba County, China.

Jianming Kuang, Linlin Ge, Qi Zhang, Chang Liu

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

An Improved Luminance Contrast Saliency Map for Burned Area Mapping Based in INSAR Coherence Difference Image.

Ting Bai, Linlin Ge, Samad M. E. Sepasgozar, Ziheng Sheng, Chang Liu, Yunhao Wu, Qi Zhang

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022

Improved Model-Based Forest Height Inversion Using Airborne L-Band Repeat-Pass Dual-Baseline Pol-InSAR Data.

Qi Zhang, Scott Hensley, Ruiheng Zhang, Chang Liu, Linlin Ge

Remote. Sens., 2022

A novel attention-based deep learning method for post-disaster building damage classification.

Chang Liu, Samad M. E. Sepasgozar, Qi Zhang, Linlin Ge

Expert Syst. Appl., 2022

2021

Towards a Deep-Learning-Based Framework of Sentinel-2 Imagery for Automated Active Fire Detection.

Qi Zhang, Linlin Ge, Ruiheng Zhang, Graciela I. Metternicht, Chang Liu, Zheyuan Du

Remote. Sens., 2021

Post-Disaster Classification of Building Damage Using Transfer Learning.

Chang Liu, Linlin Ge, Samad M. E. Sepasgozar

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Quantitative, Near Real-Time Mapping of Bushfires Through Integration of Optical and SAR Remote Sensing Techniques.

Linlin Ge, Yufei Wang, Qi Zhang, Zheyuan Du, Chang Liu, Yifei Dong, Tony Sleigh, Tao Guo, Xia Lei, Zhewen Ma

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021