4 papers
Toward Stable Semi-Supervised Remote Sensing Segmentation via Co-Guidance and Co-Fusion
Yi Zhou, Xuechao Zou, Shun Zhang +7
Semi-supervised remote sensing (RS) image semantic segmentation offers a promising solution to alleviate the burden of exhaustive annotation, yet it fundamentally struggles with ps…
Dynamic Dictionary Learning for Remote Sensing Image Segmentation
Xuechao Zou, Yue Li, Shun Zhang +5
Remote sensing image segmentation faces persistent challenges in distinguishing morphologically similar categories and adapting to diverse scene variations. While existing methods…
Knowledge Transfer and Domain Adaptation for Fine-Grained Remote Sensing Image Segmentation
Shun Zhang, Xuechao Zou, Kai Li +4
Fine-grained remote sensing image segmentation is essential for accurately identifying detailed objects in remote sensing images. Recently, vision transformer models (VTMs) pre-tra…
Adapting Vision Foundation Models for Robust Cloud Segmentation in Remote Sensing Images
Xuechao Zou, Shun Zhang, Kai Li +5
Cloud segmentation is a critical challenge in remote sensing image interpretation, as its accuracy directly impacts the effectiveness of subsequent data processing and analysis. Re…