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Disambiguation of "He, Xiaohui"

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A New Method for Bare Permafrost Extraction on the Tibetan Plateau by Integrating Machine Learning and Multi-Source Information.

, , , , , , and . Remote. Sens., 15 (22): 5328 (November 2023)

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Xiaohui Liu

Xiaohui Xiao

Xiaohui Hu

Xiaohui Yuan

Xiaohui Tang

 

Other publications of authors with the same name

Assessment of Land Desertification and Its Drivers in Semi-Arid Alpine Mountains: A Case Study of the Qilian Mountains Region, Northwest China., , , , , , , , , and 2 other author(s). Remote. Sens., 15 (15): 3836 (August 2023)A New Automatic Extraction Method for Glaciers on the Tibetan Plateau under Clouds, Shadows and Snow Cover., , , , , and . Remote. Sens., 14 (13): 3084 (2022)A New Method for Bare Permafrost Extraction on the Tibetan Plateau by Integrating Machine Learning and Multi-Source Information., , , , , , and . Remote. Sens., 15 (22): 5328 (November 2023)Warming Has Accelerated the Melting of Glaciers on the Tibetan Plateau, but the Debris-Covered Glaciers Are Rapidly Expanding., , , , , , and . Remote. Sens., 15 (1): 132 (January 2023)Exploring multiple crowdsourced data to learn deep convolutional neural networks for road extraction., , , , , , , , , and 2 other author(s). Int. J. Appl. Earth Obs. Geoinformation, (2021)A New Technique for Urban and Rural Settlement Boundary Extraction Based on Spectral-Topographic-Radar Polarization Features and Its Application in Xining, China., , , , , , and . Remote. Sens., 16 (6): 1091 (March 2024)Thematic Content and Visualization Strategy for Map Design of City-Specific Culture Based on Local Chronicles: A Case Study of Dengfeng City, China., , , , and . ISPRS Int. J. Geo Inf., 11 (11): 542 (2022)Exploiting Hierarchical Features for Crop Yield Prediction Based on 3-D Convolutional Neural Networks and Multikernel Gaussian Process., , , , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2021)A Real-Time Bridge Crack Detection Method Based on an Improved Inception-Resnet-v2 Structure., , , , , and . IEEE Access, (2021)Improved Categorical Cross-Entropy Loss for Training Deep Neural Networks with Noisy Labels., , , , , , and . PRCV (4), volume 13022 of Lecture Notes in Computer Science, page 78-89. Springer, (2021)