6 citations · 11 across the 7 of their papers we have counts for
7 papers
A Survey on Remote Sensing Foundation Models: From Vision to Multimodality
Ziyue Huang, Hongxi Yan, Qiqi Zhan +7
The rapid advancement of remote sensing foundation models, particularly vision and multimodal models, has significantly enhanced the capabilities of intelligent geospatial data int…
Generic Knowledge Boosted Pre-training For Remote Sensing Images
Ziyue Huang, Mingming Zhang, Yuan Gong +2
Deep learning models are essential for scene classification, change detection, land cover segmentation, and other remote sensing image understanding tasks. Most backbones of existi…
Context-Enhanced Detector For Building Detection From Remote Sensing Images
Ziyue Huang, Mingming Zhang, Qingjie Liu +3
The field of building detection from remote sensing images has made significant progress, but faces challenges in achieving high-accuracy detection due to the diversity in building…
CtxMIM: Context-Enhanced Masked Image Modeling for Remote Sensing Image Understanding
Mingming Zhang, Qingjie Liu, Yunhong Wang
Learning representations through self-supervision on unlabeled data has proven highly effective for understanding diverse images. However, remote sensing images often have complex…
HiT: Building Mapping with Hierarchical Transformers
Mingming Zhang, Qingjie Liu, Yunhong Wang
Deep learning-based methods have been extensively explored for automatic building mapping from high-resolution remote sensing images over recent years. While most building mapping…
BiSVP: Building Footprint Extraction via Bidirectional Serialized Vertex Prediction
Mingming Zhang, Ye Du, Zhenghui Hu +2
Extracting building footprints from remote sensing images has been attracting extensive attention recently. Dominant approaches address this challenging problem by generating vecto…
Semi-supervised Hyperspectral Image Classification with Graph Clustering Convolutional Networks
Hao Zeng, Qingjie Liu, Mingming Zhang +2
Hyperspectral image classification (HIC) is an important but challenging task, and a problem that limits the algorithmic development in this field is that the ground truths of hype…