3 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.CV2025
SPEX: A Vision-Language Model for Land Cover Extraction on Spectral Remote Sensing Images
Dongchen Si, Di Wang, Erzhong Gao +9
Spectral information has long been recognized as a critical cue in remote sensing observations. Although numerous vision-language models have been developed for pixel-level interpr…
cs.CV2024★ 3 cited
HyperSIGMA: Hyperspectral Intelligence Comprehension Foundation Model
Di Wang, Meiqi Hu, Yao Jin +19
Accurate hyperspectral image (HSI) interpretation is critical for providing valuable insights into various earth observation-related applications such as urban planning, precision…
cs.CV2024★ 1 cited
MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining
Di Wang, Jing Zhang, Minqiang Xu +8
Foundation models have reshaped the landscape of Remote Sensing (RS) by enhancing various image interpretation tasks. Pretraining is an active research topic, encompassing supervis…