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Min Huang 0005
Person information
- affiliation: Jiangxi Normal University, School of Geography and Environment, China
- affiliation (former): Wuhan University, State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, China
Other persons with the same name
- Min Huang — disambiguation page
- Min Huang 0001
— Northeastern University, College of Information Science and Engineering, Shenyang, China
- Min Huang 0002
— Soochow University, Suzhou, China (and 1 more)
- Min Huang 0003
— Shenzhen University, College of Information Engineering, China (and 1 more)
- Min Huang 0004
— Xiamen University, Cognitive Science Department, Fujian Key Laboratory of Brain-inspired Computing Technique and Applications, China
- Min Huang 0006
— Huazhong University of Science and Technology, School of Mechanical Science and Engineering, Wuhan, China
- Min Huang 0007
— Hebei University of Science and Technology, School of Information Science and Engineering, Shijiazhuang, China
- Min Huang 0008 — Tsinghua University, National Laboratory for Information Science and Technology, Beijing, China (and 1 more)
- Min Huang 0009
— University of Chinese Academy of Sciences, School of Artificial Intelligence, Beijing, China (and 2 more)
- Min Huang 0010
— Jiangnan University, Key Laboratory of Advanced Process Control for Light Industry, Ministry of Education, Wuxi, China
- Min Huang 0011 — Intel Corporation, Communication Infrastructure Research Lab, Intel Labs, China
- Min Huang 0012
— Army Engineering University, National Key Laboratory on Electromagnetic Environment Effects, Shijiazhuang, China (and 1 more)
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2020 – today
- 2024
- [j16]Yang Zhou
, Yong Chen
, Jinshan Zeng
, Wei He
, Min Huang
:
Unidirectional Spatial and Spectral Smoothed Tensor Ring Decomposition for Hyperspectral Image Denoising and Destriping. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j15]Wenying Du
, Qingyun Xia, Bingqing Cheng, Lei Xu, Zeqiang Chen, Xiang Zhang
, Min Huang
, Nengcheng Chen
:
Flood Inundation Probability Estimation by Integrating Physical and Social Sensing Data: Case Study of 2021 Heavy Rainfall in Henan, China. Remote. Sens. 16(15): 2734 (2024) - [j14]Yong Chen
, Maolin Chen
, Wei He
, Jinshan Zeng
, Min Huang
, Yu-Bang Zheng
:
Thick Cloud Removal in Multitemporal Remote Sensing Images via Low-Rank Regularized Self-Supervised Network. IEEE Trans. Geosci. Remote. Sens. 62: 1-13 (2024) - 2023
- [j13]Shaoyu Zhang, Jun Yu, Hanzeyu Xu
, Shuhua Qi, Jin Luo, Shiming Huang, Kaitao Liao
, Min Huang
:
Mapping the Age of Subtropical Secondary Forest Using Dense Landsat Time Series Data: An Ensemble Model. Remote. Sens. 15(8): 2067 (2023) - [j12]Lei Xu
, Hongchu Yu
, Zeqiang Chen, Wenying Du, Nengcheng Chen
, Min Huang
:
Hybrid Deep Learning and S2S Model for Improved Sub-Seasonal Surface and Root-Zone Soil Moisture Forecasting. Remote. Sens. 15(13): 3410 (2023) - [j11]Yuheng Fu, Min Huang
, Daohong Gong
, Hui Lin, Yewen Fan, Wenying Du
:
Dynamic Simulation and Prediction of Carbon Storage Based on Land Use/Land Cover Change from 2000 to 2040: A Case Study of the Nanchang Urban Agglomeration. Remote. Sens. 15(19): 4645 (2023) - [j10]Daoye Zhu
, Bing Han
, Elisabete A. Silva, Shuang Li
, Min Huang
, Fuhu Ren, Chengqi Cheng:
Novel Grid Collection and Management Model of Remote Sensing Change Detection Samples. Remote. Sens. 15(23): 5528 (2023) - [j9]Daohong Gong
, Min Huang
, Hui Lin:
Construction of an Ecological Security Pattern in Rapidly Urbanizing Areas Based on Ecosystem Sustainability, Stability, and Integrity. Remote. Sens. 15(24): 5728 (2023) - 2022
- [j8]Changjiang Xiao, Xiaohua Tong, Dandan Li, Xiaojian Chen, Qiquan Yang
, Xiong Xv, Hui Lin, Min Huang
:
Prediction of long lead monthly three-dimensional ocean temperature using time series gridded Argo data and a deep learning method. Int. J. Appl. Earth Obs. Geoinformation 112: 102971 (2022) - [j7]Zhanzhuo Chen, Min Huang
, Changjiang Xiao, Shuhua Qi, Wenying Du, Daoye Zhu, Orhan Altan
:
Integrating Remote Sensing and Spatiotemporal Analysis to Characterize Artificial Vegetation Restoration Suitability in Desert Areas: A Case Study of Mu Us Sandy Land. Remote. Sens. 14(19): 4736 (2022) - [j6]Yingbing Liu, Yuqin Wu, Zeqiang Chen, Min Huang
, Wenying Du, Nengcheng Chen
, Changjiang Xiao
:
A Novel Impervious Surface Extraction Method Based on Automatically Generating Training Samples From Multisource Remote Sensing Products: A Case Study of Wuhan City, China. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 6766-6780 (2022) - 2021
- [j5]Nengcheng Chen
, Meijuan Yang, Wenying Du
, Min Huang
:
PM2.5 Estimation and Spatial-Temporal Pattern Analysis Based on the Modified Support Vector Regression Model and the 1 km Resolution MAIAC AOD in Hubei, China. ISPRS Int. J. Geo Inf. 10(1): 31 (2021) - [j4]Zhanzhuo Chen, Min Huang
, Daoye Zhu
, Orhan Altan
:
Integrating Remote Sensing and a Markov-FLUS Model to Simulate Future Land Use Changes in Hokkaido, Japan. Remote. Sens. 13(13): 2621 (2021) - [j3]Daoye Zhu
, Yi Yang, Fuhu Ren, Shunji Murai, Chengqi Cheng, Min Huang
:
Novel Intelligent Spatiotemporal Grid Earthquake Early-Warning Model. Remote. Sens. 13(17): 3426 (2021) - 2020
- [c2]Daoye Zhu, Yi Yang, Weixin Zhai, Fuhu Ren, Chengqi Cheng, Min Huang:
Geosot Grid Remote Sensing Intelligent Interpretation Model based on Fine-Tuning Resnet-18: A Case Study of Construction Land. IGARSS 2020: 2535-2538
2010 – 2019
- 2019
- [j2]Wenying Du, Nengcheng Chen
, Sai Yuan, Chao Wang, Min Huang
, Huanfeng Shen
:
Sensor web - Enabled flood event process detection and instant service. Environ. Model. Softw. 117: 29-42 (2019) - 2018
- [j1]Min Huang
, Nengcheng Chen
, Wenying Du
, Zeqiang Chen, Jianya Gong:
DMBLC: An Indirect Urban Impervious Surface Area Extraction Approach by Detecting and Masking Background Land Cover on Google Earth Image. Remote. Sens. 10(5): 766 (2018) - 2017
- [c1]Min Huang
, Nengcheng Chen
, Zeqiang Chen:
City-scale agricultural land use detection using soil moisture derived from GF-1 images. Agro-Geoinformatics 2017: 1-6
Coauthor Index
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last updated on 2024-09-02 01:02 CEST by the dblp team
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