activity
20202022
most citedA Spectral-Spatial-Dependent Global Learning Framework for Insufficient and Imbalanced Hyperspectral Image Classification

191 citations · 247 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CY2022

RunnerDNA: Interpretable indicators and model to characterize human activity pattern and individual difference

Yao Yao, Zhuolun Wang, Peng Luo +5

Human activity analysis based on sensor data plays a significant role in behavior sensing, human-machine interaction, health care, and so on. The current research focused on recogn…

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…

cs.DB2020★ 7 cited

Improving Reverse k Nearest Neighbors Queries

Lixin Ye

The reverse nearest neighbor query finds all points that have the query point as one of their nearest neighbors, where the NN query finds the closest points to its q…