10 citations · 13 across the 6 of their papers we have counts for
7 papers
PDA++: Field-Aligned Planning and Scene-Adaptive Insertion in Remote Sensing
Xianchi Dong, Yingyan Hou, Chao Ren +6
Remote sensing recognition is often constrained by scarce observations of rare targets and costly annotations, making realistic synthetic augmentation particularly valuable for few…
IRSAMap:Towards Large-Scale, High-Resolution Land Cover Map Vectorization
Yu Meng, Ligao Deng, Zhihao Xi +9
With the enhancement of remote sensing image resolution and the rapid advancement of deep learning, land cover mapping is transitioning from pixel-level segmentation to object-base…
SCLNet: A Scale-Robust Complementary Learning Network for Object Detection in UAV Images
Xuexue Li
Most recent UAV (Unmanned Aerial Vehicle) detectors focus primarily on general challenge such as uneven distribution and occlusion. However, the neglect of scale challenges, which…
Insight Any Instance: Promptable Instance Segmentation for Remote Sensing Images
Xuexue Li
Instance segmentation of remote sensing images (RSIs) is an essential task for a wide range of applications such as land planning and intelligent transport. Instance segmentation o…
UCDNet: Multi-UAV Collaborative 3D Object Detection Network by Reliable Feature Mapping
Pengju Tian, Peirui Cheng, Yuchao Wang +5
Multi-UAV collaborative 3D object detection can perceive and comprehend complex environments by integrating complementary information, with applications encompassing traffic monito…
TAFormer: A Unified Target-Aware Transformer for Video and Motion Joint Prediction in Aerial Scenes
Liangyu Xu, Wanxuan Lu, Hongfeng Yu +5
As drone technology advances, using unmanned aerial vehicles for aerial surveys has become the dominant trend in modern low-altitude remote sensing. The surge in aerial video data…
SFTformer: A Spatial-Frequency-Temporal Correlation-Decoupling Transformer for Radar Echo Extrapolation
Liangyu Xu, Wanxuan Lu, Hongfeng Yu +3
Extrapolating future weather radar echoes from past observations is a complex task vital for precipitation nowcasting. The spatial morphology and temporal evolution of radar echoes…