Xinchang Zhang
Orcid: 0000-0001-8463-9757Affiliations:
- Guangzhou University, School of Geographical Sciences, China
- Henan University, College of Environment and Planning, Kaifeng, China
- Wuhan University, Department of resources and environmental sciences, China (PhD 2004)
- Wuhan Technical University of Surveying and Mapping, Department of cartography, China (former)
According to our database1,
Xinchang Zhang
authored at least 27 papers
between 2016 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
A maps-to-maps approach for simulating urban land expansion based on convolutional long short-term memory neural networks.
Int. J. Geogr. Inf. Sci., March, 2024
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024
Fine-Grained Abandoned Cropland Mapping in Southern China Using Pixel Attention Contrastive Learning.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024
Multiscale Fusion CNN-Transformer Network for High-Resolution Remote Sensing Image Change Detection.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024
Int. J. Appl. Earth Obs. Geoinformation, 2024
2022
Tensor-CA: A high-performance cellular automata model for land use simulation based on vectorization and GPU.
Trans. GIS, 2022
Integrating a deep forest algorithm with vector-based cellular automata for urban land change simulation.
Trans. GIS, 2022
Deep Learning Classification by ResNet-18 Based on the Real Spectral Dataset from Multispectral Remote Sensing Images.
Remote. Sens., 2022
Effectiveness of Semi-Supervised Learning and Multi-Source Data in Detailed Urban Landuse Mapping with a Few Labeled Samples.
Remote. Sens., 2022
Fine-Grained Building Change Detection From Very High-Spatial-Resolution Remote Sensing Images Based on Deep Multitask Learning.
IEEE Geosci. Remote. Sens. Lett., 2022
Int. J. Appl. Earth Obs. Geoinformation, 2022
2021
Deep Subpixel Mapping Based on Semantic Information Modulated Network for Urban Land Use Mapping.
IEEE Trans. Geosci. Remote. Sens., 2021
Trans. GIS, 2021
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
Attention-Guided Label Refinement Network for Semantic Segmentation of Very High Resolution Aerial Orthoimages.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
Sensors, 2021
2020
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020
IEEE Access, 2020
2019
Automated Surface Water Extraction Combining Sentinel-2 Imagery and OpenStreetMap Using Presence and Background Learning (PBL) Algorithm.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019
Remote. Sens., 2019
A spatial exploring model for urban land ecological security based on a modified artificial bee colony algorithm.
Ecol. Informatics, 2019
2018
Road Centerline Extraction from Very-High-Resolution Aerial Image and LiDAR Data Based on Road Connectivity.
Remote. Sens., 2018
Extracting Building Boundaries from High Resolution Optical Images and LiDAR Data by Integrating the Convolutional Neural Network and the Active Contour Model.
Remote. Sens., 2018
Progressive Amalgamation of Building Clusters for Map Generalization Based on Scaling Subgroups.
ISPRS Int. J. Geo Inf., 2018
2017
Class-Oriented Spectral Partitioning for Remotely Sensed Hyperspectral Image Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017
A Multi-Scale Residential Areas Matching Method Using Relevance Vector Machine and Active Learning.
ISPRS Int. J. Geo Inf., 2017
2016
Propagating Updates of Residential Areas in Multi-Representation Databases Using Constrained Delaunay Triangulations.
ISPRS Int. J. Geo Inf., 2016