Yi Wang
Yi Wang
Full Professor, PhD tutor, China University of Geosciences, Wuhan
Verified email at - Homepage
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Comparison of convolutional neural networks for landslide susceptibility mapping in Yanshan County, China
Y Wang, Z Fang, H Hong
Science of the total environment 666, 975-993, 2019
Flood susceptibility modelling using novel hybrid approach of reduced-error pruning trees with bagging and random subspace ensembles
W Chen, H Hong, S Li, H Shahabi, Y Wang, X Wang, BB Ahmad
Journal of Hydrology 575, 864-873, 2019
Integration of convolutional neural network and conventional machine learning classifiers for landslide susceptibility mapping
Z Fang, Y Wang, L Peng, H Hong
Computers & Geosciences 139, 104470, 2020
Flood susceptibility mapping using convolutional neural network frameworks
Y Wang, Z Fang, H Hong, L Peng
Journal of hydrology 582, 124482, 2020
Flood susceptibility mapping in Dingnan County (China) using adaptive neuro-fuzzy inference system with biogeography based optimization and imperialistic competitive algorithm
Y Wang, H Hong, W Chen, S Li, M Panahi, K Khosravi, A Shirzadi, ...
Journal of environmental management 247, 712-729, 2019
Comparative study of landslide susceptibility mapping with different recurrent neural networks
Y Wang, Z Fang, M Wang, L Peng, H Hong
Computers & Geosciences 138, 104445, 2020
Predicting flood susceptibility using LSTM neural networks
Z Fang, Y Wang, L Peng, H Hong
Journal of Hydrology 594, 125734, 2020
A comparative study of heterogeneous ensemble-learning techniques for landslide susceptibility mapping
Z Fang, Y Wang, L Peng, H Hong
International Journal of Geographical Information Science 35 (2), 321-347, 2021
A hybrid GIS multi-criteria decision-making method for flood susceptibility mapping at Shangyou, China
Y Wang, H Hong, W Chen, S Li, D Pamučar, L Gigović, S Drobnjak, ...
Remote Sensing 11 (1), 62, 2018
Spatial prediction of landslide susceptibility using gis-based data mining techniques of anfis with whale optimization algorithm (woa) and grey wolf optimizer (gwo)
W Chen, H Hong, M Panahi, H Shahabi, Y Wang, A Shirzadi, S Pirasteh, ...
Applied Sciences 9 (18), 3755, 2019
Integration of information theory, K-means cluster analysis and the logistic regression model for landslide susceptibility mapping in the Three Gorges Area, China
Q Wang, Y Wang, R Niu, L Peng
Remote Sensing 9 (9), 938, 2017
Flood susceptibility mapping by integrating frequency ratio and index of entropy with multilayer perceptron and classification and regression tree
Y Wang, Z Fang, H Hong, R Costache, X Tang
Journal of Environmental Management 289, 112449, 2021
A spatial and temporal reflectance fusion model considering sensor observation differences
H Shen, P Wu, Y Liu, T Ai, Y Wang, X Liu
International journal of remote sensing 34 (12), 4367-4383, 2013
Identification of torrential valleys using GIS and a novel hybrid integration of artificial intelligence, machine learning and bivariate statistics
R Costache, H Hong, Y Wang
Catena 183, 104179, 2019
Introducing a novel multi-layer perceptron network based on stochastic gradient descent optimized by a meta-heuristic algorithm for landslide susceptibility mapping
H Hong, P Tsangaratos, I Ilia, C Loupasakis, Y Wang
Science of the total environment 742, 140549, 2020
A combination of geographically weighted regression, particle swarm optimization and support vector machine for landslide susceptibility mapping: a case study at Wanzhou in the …
X Yu, Y Wang, R Niu, Y Hu
International journal of environmental research and public health 13 (5), 487, 2016
Anisotropic diffusion for hyperspectral imagery enhancement
Y Wang, R Niu, X Yu
IEEE Sensors Journal 10 (3), 469-477, 2010
Multiple kernel-based SVM classification of hyperspectral images by combining spectral, spatial, and semantic information
Y Wang, W Yu, Z Fang
Remote Sensing 12 (1), 120, 2020
Local variance-controlled forward-and-backward diffusion for image enhancement and noise reduction
Y Wang, L Zhang, P Li
IEEE Transactions on Image Processing 16 (7), 1854-1864, 2007
A survey of machine learning and deep learning in remote sensing of geological environment: Challenges, advances, and opportunities
W Han, X Zhang, Y Wang, L Wang, X Huang, J Li, S Wang, W Chen, X Li, ...
ISPRS Journal of Photogrammetry and Remote Sensing 202, 87-113, 2023
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