activity
20242026
most citedA Comprehensive Review of Agricultural Parcel and Boundary Delineation from Remote Sensing Images: Recent Progress and Future Perspectives

2 citations · 2 across the 3 of their papers we have counts for

collaborators

7 papers

cs.CV2026

RS-Prune: Training-Free Data Pruning at High Ratios for Efficient Remote Sensing Diffusion Foundation Models

Fan Wei, Runmin Dong, Yushan Lai +8

Diffusion-based remote sensing (RS) generative foundation models are cruial for downstream tasks. However, these models rely on large amounts of globally representative data, which…

cs.CV2025

GALA: A GlobAl-LocAl Approach for Multi-Source Active Domain Adaptation

Juepeng Zheng, Peifeng Zhang, Yibin Wen +3

Domain Adaptation (DA) provides an effective way to tackle target-domain tasks by leveraging knowledge learned from source domains. Recent studies have extended this paradigm to Mu…

cs.CV20252 cited

A Comprehensive Review of Agricultural Parcel and Boundary Delineation from Remote Sensing Images: Recent Progress and Future Perspectives

Juepeng Zheng, Zi Ye, Yibin Wen +7

Powered by advances in multiple remote sensing sensors, the production of high spatial resolution images provides great potential to achieve cost-efficient and high-accuracy agricu…

cs.CV2025

GTPBD: A Fine-Grained Global Terraced Parcel and Boundary Dataset

Zhiwei Zhang, Zi Ye, Yibin Wen +4

Agricultural parcels serve as basic units for conducting agricultural practices and applications, which is vital for land ownership registration, food security assessment, soil ero…

cs.CV2025

WakeupUrban: Unsupervised Semantic Segmentation of Mid-20 century Urban Landscapes with Satellite Imagery

Tianxiang Hao, Lixian Zhang, Yingjia Zhang +4

Historical satellite imagery archive, such as Keyhole satellite data, offers rare insights into understanding early urban development and long-term transformation. However, severe…

cs.CV2025

Can Large Multimodal Models Understand Agricultural Scenes? Benchmarking with AgroMind

Qingmei Li, Yang Zhang, Zurong Mai +10

Large Multimodal Models (LMMs) has demonstrated capabilities across various domains, but comprehensive benchmarks for agricultural remote sensing (RS) remain scarce. Existing bench…