3 papers
cs.CV2026
GeoSAM-Lite: A Lightweight Foundation Model for Onboard Remote Sensing Segmentation
Yongcong Wang, Jie Zhang, Rui Jiang +3
The deployment of large-scale foundation models like Segment Anything Model (SAM) on resource-constrained Earth observation platforms is hindered by prohibitive computational costs…
cs.CV2024
RSAM-Seg: A SAM-based Approach with Prior Knowledge Integration for Remote Sensing Image Semantic Segmentation
Jie Zhang, Xubing Yang, Rui Jiang +2
The development of high-resolution remote sensing satellites has provided great convenience for research work related to remote sensing. Segmentation and extraction of specific tar…
cs.CV2023
CD-CTFM: A Lightweight CNN-Transformer Network for Remote Sensing Cloud Detection Fusing Multiscale Features
Wenxuan Ge, Xubing Yang, Li Zhang
Clouds in remote sensing images inevitably affect information extraction, which hinder the following analysis of satellite images. Hence, cloud detection is a necessary preprocessi…