Yongjiu Feng
Orcid: 0000-0001-8772-7218
According to our database1,
Yongjiu Feng
authored at least 33 papers
between 2010 and 2024.
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Bibliography
2024
High-Precision Geometric Calibration Model for Spaceborne SAR Using Geometrically Constrained GCPs.
IEEE Trans. Geosci. Remote. Sens., 2024
2023
An improved assessment method for urban growth simulations across models, regions, and time.
Int. J. Geogr. Inf. Sci., November, 2023
Large-Scale Surface Deformation Monitoring Using SBAS-InSAR and Intelligent Prediction in Typical Cities of Yangtze River Delta.
Remote. Sens., October, 2023
Pixel-Level Projection of PM<sub>2.5</sub> Using Landsat Images and Cellular Automata Models in the Yangtze River Delta, China.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023
Fractal Theory Based Stratified Sampling for Quality Assessment of Remote-Sensing-Derived Geospatial Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023
2022
Automatic selection of permanent scatterers-based GCPs for refinement and reflattening in InSAR DEM generation.
Int. J. Digit. Earth, December, 2022
Automatic Registration of Very Low Overlapping Array InSAR Point Clouds in Urban Scenes.
IEEE Trans. Geosci. Remote. Sens., 2022
A Data Augmentation Strategy Combining a Modified pix2pix Model and the Copy-Paste Operator for Solid Waste Detection With Remote Sensing Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022
An Improved Geometric Calibration Model for Spaceborne SAR Systems With a Case Study of Large-Scale Gaofen-3 Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022
Road Network Extraction from SAR Images with the Support of Angular Texture Signature and POIs.
Remote. Sens., 2022
Topographic Correction of the SELENE MI Images with the LOLA DEM around Shackleton Crater.
Remote. Sens., 2022
Elastic and Inelastic Ground Deformation in Shanghai Lingang Area Revealed by Sentinel-1, Leveling, and Groundwater Level Data.
Remote. Sens., 2022
An Anchor-Free Network With Density Map and Attention Mechanism for Multiscale Object Detection in Aerial Images.
IEEE Geosci. Remote. Sens. Lett., 2022
The effects of factor generalization scales on the reproduction of dynamic urban growth.
Geo spatial Inf. Sci., 2022
2021
A comparison of proximity and accessibility drivers in simulating dynamic urban growth.
Trans. GIS, 2021
A Comparative Study of DEM Reconstruction Using the Single-Baseline and Multibaseline InSAR Techniques.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
To move or stay? A cellular automata model to predict urban growth in coastal regions amidst rising sea levels.
Int. J. Digit. Earth, 2021
Reducing spatial autocorrelation in the dynamic simulation of urban growth using eigenvector spatial filtering.
Int. J. Appl. Earth Obs. Geoinformation, 2021
2020
Modeling urban growth using spatially heterogeneous cellular automata models: Comparison of spatial lag, spatial error and GWR.
Comput. Environ. Urban Syst., 2020
A Combined Deconvolution and Gaussian Decomposition Approach for Overlapped Peak Position Extraction From Large-Footprint Satellite Laser Altimeter Waveforms.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020
A review of assessment methods for cellular automata models of land-use change and urban growth.
Int. J. Geogr. Inf. Sci., 2020
A new cellular automata framework of urban growth modeling by incorporating statistical and heuristic methods.
Int. J. Geogr. Inf. Sci., 2020
2019
How much can temporally stationary factors explain cellular automata-based simulations of past and future urban growth?
Comput. Environ. Urban Syst., 2019
Spatial Patterns of Land Surface Temperature and Their Influencing Factors: A Case Study in Suzhou, China.
Remote. Sens., 2019
GlobeLand30 maps show four times larger gross than net land change from 2000 to 2010 in Asia.
Int. J. Appl. Earth Obs. Geoinformation, 2019
2018
Comparison of metaheuristic cellular automata models: A case study of dynamic land use simulation in the Yangtze River Delta.
Comput. Environ. Urban Syst., 2018
Calibration of cellular automata models using differential evolution to simulate present and future land use.
Trans. GIS, 2018
Urban Growth Modeling and Future Scenario Projection Using Cellular Automata (CA) Models and the R Package Optimx.
ISPRS Int. J. Geo Inf., 2018
2017
Modeling dynamic urban land-use change with geographical cellular automata and generalized pattern search-optimized rules.
Int. J. Geogr. Inf. Sci., 2017
Proceedings of the 14th IEEE International Conference on Networking, Sensing and Control, 2017
2016
Simulation of Dynamic Urban Growth with Partial Least Squares Regression-Based Cellular Automata in a GIS Environment.
ISPRS Int. J. Geo Inf., 2016
2013
A heuristic cellular automata approach for modelling urban land-use change based on simulated annealing.
Int. J. Geogr. Inf. Sci., 2013
2010
An Optimised Cellular Automata Model Based on Adaptive Genetic Algorithm for Urban Growth Simulation.
Proceedings of the Advances in Spatial Data Handling and GIS, 2010