activity
20242026
most citedAdvancing Image Super-resolution Techniques in Remote Sensing: A Comprehensive Survey

26 citations · 27 across the 4 of their papers we have counts for

collaborators

5 papers

cs.LG2026

Smoothness Errors in Dynamics Models and How to Avoid Them

Edward Berman, Luisa Li, Jung Yeon Park +1

Modern neural networks have shown promise for solving partial differential equations over surfaces, often by discretizing the surface as a mesh and learning with a mesh-aware graph…

eess.IV2025★ 26 cited

Advancing Image Super-resolution Techniques in Remote Sensing: A Comprehensive Survey

Yunliang Qi, Meng Lou, Yimin Liu +3

Remote sensing image super-resolution (RSISR) is a crucial task in remote sensing image processing, aiming to reconstruct high-resolution (HR) images from their low-resolution (LR)…

cs.CV2025★ 1 cited

Semantic-CD: Remote Sensing Image Semantic Change Detection towards Open-vocabulary Setting

Yongshuo Zhu, Lu Li, Keyan Chen +3

Remote sensing image semantic change detection is a method used to analyze remote sensing images, aiming to identify areas of change as well as categorize these changes within imag…

cs.CV2024

Semantic-CC: Boosting Remote Sensing Image Change Captioning via Foundational Knowledge and Semantic Guidance

Yongshuo Zhu, Lu Li, Keyan Chen +3

Remote sensing image change captioning (RSICC) aims to articulate the changes in objects of interest within bi-temporal remote sensing images using natural language. Given the limi…

cs.CV2024

MarsSeg: Mars Surface Semantic Segmentation with Multi-level Extractor and Connector

Junbo Li, Keyan Chen, Gengju Tian +2

The segmentation and interpretation of the Martian surface play a pivotal role in Mars exploration, providing essential data for the trajectory planning and obstacle avoidance of r…