output
20102024
most citedInternet of Things in Geospatial Analytics

154 citations

13 papers

cs.AI2024

Research on the Spatial Data Intelligent Foundation Model

Shaohua Wang, Xing Xie, Yong Li +28

This report focuses on spatial data intelligent large models, delving into the principles, methods, and cutting-edge applications of these models. It provides an in-depth discussio…

cs.CV2021★ 35 cited

SpectralFormer: Rethinking Hyperspectral Image Classification with Transformers

Danfeng Hong, Zhu Han, Jing Yao +4

Hyperspectral (HS) images are characterized by approximately contiguous spectral information, enabling the fine identification of materials by capturing subtle spectral discrepanci…

cs.CV2020★ 11 cited

SLCRF: Subspace Learning with Conditional Random Field for Hyperspectral Image Classification

Yun Cao, Jie Mei, Yuebin Wang +5

Subspace learning (SL) plays an important role in hyperspectral image (HSI) classification, since it can provide an effective solution to reduce the redundant information in the im…

eess.IV2020★ 1 cited

Uncertainty Quantification for Hyperspectral Image Denoising Frameworks based on Low-rank Matrix Approximation

Jingwei Song, Shaobo Xia, Jun Wang +2

Sliding-window based low-rank matrix approximation (LRMA) is a technique widely used in hyperspectral images (HSIs) denoising or completion. However, the uncertainty quantification…

cs.CV2020★ 28 cited

Curved Buildings Reconstruction from Airborne LiDAR Data by Matching and Deforming Geometric Primitives

Jingwei Song, Shaobo Xia, Jun Wang +1

Airborne LiDAR (Light Detection and Ranging) data is widely applied in building reconstruction, with studies reporting success in typical buildings. However, the reconstruction of…

eess.SP2019★ 154 cited

Internet of Things in Geospatial Analytics

Carlos Granell, Andreas Kamilaris, Alexander Kotsev +2

Digital Earth was born with the aim of replicating the real world within the digital world. Many efforts have been made to observe and sense the Earth, both from space and by using…