Name
Affiliation
Papers
YONGJIU FENG
The Key Laboratory of Sustainable Exploitation of Oceanic Fisheries Resources Ministry of Education, Shanghai Ocean University, Shanghai, China
16
Collaborators
Citations 
PageRank 
54
12
5.65
Referers 
Referees 
References 
40
186
82
Search Limit
100186
Title
Citations
PageRank
Year
An Anchor-Free Network With Density Map and Attention Mechanism for Multiscale Object Detection in Aerial Images00.342022
Automatic Registration of Very Low Overlapping Array InSAR Point Clouds in Urban Scenes00.342022
Road Network Extraction from SAR Images with the Support of Angular Texture Signature and POIs00.342022
Topographic Correction of the SELENE MI Images with the LOLA DEM around Shackleton Crater00.342022
An Improved Geometric Calibration Model for Spaceborne SAR Systems With a Case Study of Large-Scale Gaofen-3 Images00.342022
A Data Augmentation Strategy Combining a Modified pix2pix Model and the Copy-Paste Operator for Solid Waste Detection With Remote Sensing Images00.342022
Elastic and Inelastic Ground Deformation in Shanghai Lingang Area Revealed by Sentinel-1, Leveling, and Groundwater Level Data00.342022
Reducing spatial autocorrelation in the dynamic simulation of urban growth using eigenvector spatial filtering00.342021
A Comparison Of Proximity And Accessibility Drivers In Simulating Dynamic Urban Growth00.342021
To Move Or Stay? A Cellular Automata Model To Predict Urban Growth In Coastal Regions Amidst Rising Sea Levels00.342021
A New Cellular Automata Framework Of Urban Growth Modeling By Incorporating Statistical And Heuristic Methods10.362020
A Review Of Assessment Methods For Cellular Automata Models Of Land-Use Change And Urban Growth00.342020
Spatial Patterns of Land Surface Temperature and Their Influencing Factors: A Case Study in Suzhou, China.10.392019
Comparison of metaheuristic cellular automata models: A case study of dynamic land use simulation in the Yangtze River Delta.30.392018
Calibration of cellular automata models using differential evolution to simulate present and future land use.10.352018
Modeling dynamic urban land-use change with geographical cellular automata and generalized pattern search-optimized rules.60.442017