Paper Publications
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- zhanghua,Duan, Zhenwei,zhengnanshan,Li, Yong,Zeng, Yu,Shi, Wenzhong.An Efficient Class-Constrained DBSCAN Approach for Large-Scale Point Cloud Clustering,2022,卷: 15页: 7323-7332
- Shi, Wenzhong,Guo, Dizhou,zhanghua.A reliable and adaptive spatiotemporal data fusion method for blending multi-spatiotemporal-resolution satellite images,2022,v 268,
- zhanghua,郑祥成,zhengnanshan,史文中.A Multiscale and Multipath Network With Boundary Enhancement for Building Footprint Extraction From Remotely Sensed Imagery,2022,卷: 15页: 8856-8869
- zhanghua,Sun, Yue,Shi, Wenzhong,Guo, Dizhou,zhengnanshan.An object-based spatiotemporal fusion model for remote sensing images,2021,卷: 54期: 1页: 86-101
- Sun, Yue,zhanghua.A two-stage spatiotemporal fusion method for remote sensing images,2019,v 85,n 12,p907-914
- Sun, Yue,zhanghua,Shi, Wenzhong.A spatio-temporal fusion method for remote sensing data Using a linear injection model and local neighbourhood information,2019,v 40,n 8,p2965-2985
- zhanghua,Bruzzone, Lorenzo,Shi, Wenzhong,郝明,wangyunjia.Enhanced Spatially Constrained Remotely Sensed Imagery Classification Using a Fuzzy Local Double Neighborhood Information C-Means Clustering Algorithm,2018,卷: 11期: 8页: 2896-2910特刊: SI
- zhanghua.An adaptive spatially constrained fuzzy c means algorithm for multispectral remotely sensed imagery clustering,2018,39;8;2207–2237
- zhanghua,Wang, Qunming,Shi, Wenzhong,郝明.A Novel Adaptive Fuzzy Local Information C-Means Clustering Algorithm for Remotely Sensed Imagery Classification,2017,卷: 55期: 9页: 5057-5068
- zhanghua.Classification of Very High Spatial Resolution Imagery Based on a New Pixel Shape Feature Set,2014,11;5;940-944