Design and Implementation of a High Spatial Resolution Remote Sensing Image Intelligent Interpretation System. - Dengkui Mo; Hui Lin 004; Jiping Li; Hua Sun 002; Yujiu Xiong (Data Sci. J., 2007)

A SVM-Based Change Detection Method from Bi-Temporal Remote Sensing Images in Forest Area. - Dengkui Mo; Hui Lin 004; Jiping Li; Hua Sun 002; Zhuo Zhang 017; Yujiu Xiong (WKDD, 2008)

A Novel Remotely Sensed Image Interpretation Method. - Dengkui Mo; Hui Lin 004; Hua Sun 002; Zhuo Zhang 017; Huaiqing Zhang (FSKD (5), 2009)

Non-wood forest information extraction based on ALOS data. - Enping Yan; Hui Lin 004; Dengkui Mo; Liming Bai; Hua Sun 002 (FSKD, 2010)

Remotely sensed image intelligent interpretation based on robust segmentation and GIS system. - Dengkui Mo; Enping Yan; Hui Lin 004; Guozhen Zhang; Jiping Li (FSKD, 2012)

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)

Improving the Estimation of Forest Carbon Density in Mountainous Regions Using Topographic Correction and Landsat 8 Images. - Enping Yan; Yunlin Zhao; Hui Lin 004; Guangxing Wang; Dengkui Mo (Remote. Sens., 2019)

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)

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)

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)

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)

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., 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., 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., 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., 2023)

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)

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., 2024)

A Method to Reduce the Misclassification of Forest Change Detection Based on High-Resolution Images. - Kaiqi Li; Jiawei Jiang; Enping Yan; Dengkui Mo (IEEE Geosci. Remote. Sens. Lett., 2025)