Dengkui Mo

According to our database, Dengkui Mo authored at least 17 papers between 2007 and 2024.

Collaborative distances:

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

2024

Bridging Domains and Resolutions: Deep Learning-Based Land Cover Mapping without Matched Labels.

Shuyi Cao, Yubin Tang, Enping Yan, Jiawei Jiang, Dengkui Mo

Remote. Sens., April, 2024

Monitoring of key Camellia Oleifera phenology features using field cameras and deep learning.

Haoran Li., Enping Yan, Jiawei Jiang, Dengkui Mo

Comput. Electron. Agric., 2024

2023

A Cross-Domain Change Detection Network Based on Instance Normalization.

Yabin Song, Jun Xiang, Jiawei Jiang, Enping Yan, Wei Wei, Dengkui Mo

Remote. Sens., December, 2023

Estimating Fine Fuel Load Using Sentinel-2A Imagery and Machine Learning: A Case Study in the Mountainous Forests of Changsha, China.

Lei Deng, Enping Yan, Jiawei Jiang, Dengkui Mo

Remote. Sens., December, 2023

Investigating the Identification and Spatial Distribution Characteristics of Camellia oleifera Plantations Using High-Resolution Imagery.

Yajing Li, Enping Yan, Jiawei Jiang, Dan Cao, Dengkui Mo

Remote. Sens., November, 2023

Dynamic Detection of Forest Change in Hunan Province Based on Sentinel-2 Images and Deep Learning.

Jun Xiang, Yuanjun Xing, Wei Wei, Enping Yan, Jiawei Jiang, Dengkui Mo

Remote. Sens., February, 2023

LightCDNet: Lightweight Change Detection Network Based on VHR Images.

Yuanjun Xing, Jiawei Jiang, Jun Xiang, Enping Yan, Yabin Song, Dengkui Mo

IEEE Geosci. Remote. Sens. Lett., 2023

2022

DSNUNet: An Improved Forest Change Detection Network by Combining Sentinel-1 and Sentinel-2 Images.

Jiawei Jiang, Yuanjun Xing, Wei Wei, Enping Yan, Jun Xiang, Dengkui Mo

Remote. Sens., 2022

Forest-CD: Forest Change Detection Network Based on VHR Images.

Jiawei Jiang, Jun Xiang, Enping Yan, Yabin Song, Dengkui Mo

IEEE Geosci. Remote. Sens. Lett., 2022

2020

Co-Evolution of Emerging Multi-Cities: Rates, Patterns and Driving Policies Revealed by Continuous Change Detection and Classification of Landsat Data.

Maochou Liu, Shuguang Liu, Ying Ning, Yu Zhu, Ruben Valbuena, Rui Guo, Yuanyuan Li, Wenxi Tang, Dengkui Mo, Isabel M. D. Rosa, Mykola Kutia, Wenmin Hu

Remote. Sens., 2020

2019

Improving the Estimation of Forest Carbon Density in Mountainous Regions Using Topographic Correction and Landsat 8 Images.

Enping Yan, Yunlin Zhao, Hui Lin, Guangxing Wang, Dengkui Mo

Remote. Sens., 2019

2015

Local Parameter Estimation of Topographic Normalization for Forest Type Classification.

Dengkui Mo, Hans Fuchs, Lutz Fehrmann, Haijun Yang, Yuanchang Lu, Christoph Kleinn

IEEE Geosci. Remote. Sens. Lett., 2015

2012

Remotely sensed image intelligent interpretation based on robust segmentation and GIS system.

Dengkui Mo, Enping Yan, Hui Lin, Guozhen Zhang, Jiping Li

Proceedings of the 9th International Conference on Fuzzy Systems and Knowledge Discovery, 2012

2010

Non-wood forest information extraction based on ALOS data.

Enping Yan, Hui Lin, Dengkui Mo, Liming Bai, Hua Sun

Proceedings of the Seventh International Conference on Fuzzy Systems and Knowledge Discovery, 2010

2009

A Novel Remotely Sensed Image Interpretation Method.

Dengkui Mo, Hui Lin, Hua Sun, Zhuo Zhang, Huaiqing Zhang

Proceedings of the Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 2009

2008

A SVM-Based Change Detection Method from Bi-Temporal Remote Sensing Images in Forest Area.

Dengkui Mo, Hui Lin, Jiping Li, Hua Sun, Zhuo Zhang, Yujiu Xiong

Proceedings of the International Workshop on Knowledge Discovery and Data Mining, 2008

2007

Design and Implementation of a High Spatial Resolution Remote Sensing Image Intelligent Interpretation System.

Dengkui Mo, Hui Lin, Jiping Li, Hua Sun, Yujiu Xiong

Data Sci. J., 2007