58 citations · 58 across the 4 of their papers we have counts for
4 papers
S2C: Learning Noise-Resistant Differences for Unsupervised Change Detection in Multimodal Remote Sensing Images
Lei Ding, Xibing Zuo, Danfeng Hong +4
Unsupervised Change Detection (UCD) in multimodal Remote Sensing (RS) images remains a difficult challenge due to the inherent spatio-temporal complexity within data, and the heter…
A Survey of Sample-Efficient Deep Learning for Change Detection in Remote Sensing: Tasks, Strategies, and Challenges
Lei Ding, Danfeng Hong, Maofan Zhao +6
In the last decade, the rapid development of deep learning (DL) has made it possible to perform automatic, accurate, and robust Change Detection (CD) on large volumes of Remote Sen…
CoMiX: Cross-Modal Fusion with Deformable Convolutions for HSI-X Semantic Segmentation
Xuming Zhang, Xingfa Gu, Qingjiu Tian +1
Improving hyperspectral image (HSI) semantic segmentation by exploiting complementary information from a supplementary data type (referred to X-modality) is promising but challengi…
Local-to-Global Cross-Modal Attention-Aware Fusion for HSI-X Semantic Segmentation
Xuming Zhang, Naoto Yokoya, Xingfa Gu +2
Hyperspectral image (HSI) classification has recently reached its performance bottleneck. Multimodal data fusion is emerging as a promising approach to overcome this bottleneck by…