191 citations · 240 across the 3 of their papers we have counts for
3 papers
cs.CV2021★ 191 cited
A Spectral-Spatial-Dependent Global Learning Framework for Insufficient and Imbalanced Hyperspectral Image Classification
Qiqi Zhu, Weihuan Deng, Zhuo Zheng +5
Deep learning techniques have been widely applied to hyperspectral image (HSI) classification and have achieved great success. However, the deep neural network model has a large pa…
cs.CY2021★ 8 cited
UrbanVCA: a vector-based cellular automata framework to simulate the urban land-use change at the land-parcel level
Yao Yao, Linlong Li, Zhaotang Liang +9
Vector-based cellular automata (CA) based on real land-parcel has become an important trend in current urban development simulation studies. Compared with raster-based and parcel-b…
cs.CY2020★ 41 cited
Understanding the drivers of sustainable land expansion using a patch-generating land use simulation (PLUS) model: A case study in Wuhan, China
Xun Liang, Qingfeng Guan, Keith C. Clarke +3
Cellular Automata (CA) are widely used to model the dynamics within complex land use and land cover (LULC) systems. Past CA model research has focused on improving the technical mo…