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Dengkui Mo
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2020 – today
- 2024
- [j13]Haoran Li., Enping Yan, Jiawei Jiang, Dengkui Mo:
Monitoring of key Camellia Oleifera phenology features using field cameras and deep learning. Comput. Electron. Agric. 219: 108748 (2024) - [j12]Shuyi Cao, Yubin Tang, Enping Yan, Jiawei Jiang, Dengkui Mo:
Bridging Domains and Resolutions: Deep Learning-Based Land Cover Mapping without Matched Labels. Remote. Sens. 16(8): 1449 (2024) - 2023
- [j11]Yuanjun Xing, Jiawei Jiang, Jun Xiang, Enping Yan, Yabin Song, Dengkui Mo:
LightCDNet: Lightweight Change Detection Network Based on VHR Images. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j10]Jun Xiang, Yuanjun Xing, Wei Wei, Enping Yan, Jiawei Jiang, Dengkui Mo:
Dynamic Detection of Forest Change in Hunan Province Based on Sentinel-2 Images and Deep Learning. Remote. Sens. 15(3): 628 (2023) - [j9]Yajing Li, Enping Yan, Jiawei Jiang, Dan Cao, Dengkui Mo:
Investigating the Identification and Spatial Distribution Characteristics of Camellia oleifera Plantations Using High-Resolution Imagery. Remote. Sens. 15(21): 5218 (2023) - [j8]Lei Deng, Enping Yan, Jiawei Jiang, Dengkui Mo:
Estimating Fine Fuel Load Using Sentinel-2A Imagery and Machine Learning: A Case Study in the Mountainous Forests of Changsha, China. Remote. Sens. 15(24): 5721 (2023) - [j7]Yabin Song, Jun Xiang, Jiawei Jiang, Enping Yan, Wei Wei, Dengkui Mo:
A Cross-Domain Change Detection Network Based on Instance Normalization. Remote. Sens. 15(24): 5785 (2023) - 2022
- [j6]Jiawei Jiang, Jun Xiang, Enping Yan, Yabin Song, Dengkui Mo:
Forest-CD: Forest Change Detection Network Based on VHR Images. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j5]Jiawei Jiang, Yuanjun Xing, Wei Wei, Enping Yan, Jun Xiang, Dengkui Mo:
DSNUNet: An Improved Forest Change Detection Network by Combining Sentinel-1 and Sentinel-2 Images. Remote. Sens. 14(19): 5046 (2022) - 2020
- [j4]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:
Co-Evolution of Emerging Multi-Cities: Rates, Patterns and Driving Policies Revealed by Continuous Change Detection and Classification of Landsat Data. Remote. Sens. 12(18): 2905 (2020)
2010 – 2019
- 2019
- [j3]Enping Yan, Yunlin Zhao, Hui Lin, Guangxing Wang, Dengkui Mo:
Improving the Estimation of Forest Carbon Density in Mountainous Regions Using Topographic Correction and Landsat 8 Images. Remote. Sens. 11(22): 2619 (2019) - 2015
- [j2]Dengkui Mo, Hans Fuchs, Lutz Fehrmann, Haijun Yang, Yuanchang Lu, Christoph Kleinn:
Local Parameter Estimation of Topographic Normalization for Forest Type Classification. IEEE Geosci. Remote. Sens. Lett. 12(9): 1998-2002 (2015) - 2012
- [c4]Dengkui Mo, Enping Yan, Hui Lin, Guozhen Zhang, Jiping Li:
Remotely sensed image intelligent interpretation based on robust segmentation and GIS system. FSKD 2012: 1542-1545 - 2010
- [c3]Enping Yan, Hui Lin, Dengkui Mo, Liming Bai, Hua Sun:
Non-wood forest information extraction based on ALOS data. FSKD 2010: 2037-2041
2000 – 2009
- 2009
- [c2]Dengkui Mo, Hui Lin, Hua Sun, Zhuo Zhang, Huaiqing Zhang:
A Novel Remotely Sensed Image Interpretation Method. FSKD (5) 2009: 517-521 - 2008
- [c1]Dengkui Mo, Hui Lin, Jiping Li, Hua Sun, Zhuo Zhang, Yujiu Xiong:
A SVM-Based Change Detection Method from Bi-Temporal Remote Sensing Images in Forest Area. WKDD 2008: 209-212 - 2007
- [j1]Dengkui Mo, Hui Lin, Jiping Li, Hua Sun, Yujiu Xiong:
Design and Implementation of a High Spatial Resolution Remote Sensing Image Intelligent Interpretation System. Data Sci. J. 6: 445-452 (2007)
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