activity
20192025
most citedOptimal Clustering Framework for Hyperspectral Band Selection

237 citations · 323 across the 10 of their papers we have counts for

collaborators

10 papers

cs.CV2025★ 1 cited

GlobalBuildingAtlas: An Open Global and Complete Dataset of Building Polygons, Heights and LoD1 3D Models

Xiao Xiang Zhu, Sining Chen, Fahong Zhang +2

We introduce GlobalBuildingAtlas, a publicly available dataset providing global and complete coverage of building polygons, heights and Level of Detail 1 (LoD1) 3D building models.…

cs.CV2025

Global Collinearity-aware Polygonizer for Polygonal Building Mapping in Remote Sensing

Fahong Zhang, Yilei Shi, Xiao Xiang Zhu

This paper addresses the challenge of mapping polygonal buildings from remote sensing images and introduces a novel algorithm, the Global Collinearity-aware Polygonizer (GCP). GCP,…

cs.CV2024

GlobalBuildingMap -- Unveiling the Mystery of Global Buildings

Xiao Xiang Zhu, Qingyu Li, Yilei Shi +3

Understanding how buildings are distributed globally is crucial to revealing the human footprint on our home planet. This built environment affects local climate, land surface albe…

cs.CV2024★ 21 cited

Neural Plasticity-Inspired Multimodal Foundation Model for Earth Observation

Zhitong Xiong, Yi Wang, Fahong Zhang +7

Earth observation (EO) in open-world settings presents a unique challenge: different applications rely on diverse sensor modalities, each with varying ground sampling distances, sp…

cs.CV2024

One for All: Toward Unified Foundation Models for Earth Vision

Zhitong Xiong, Yi Wang, Fahong Zhang +1

Foundation models characterized by extensive parameters and trained on large-scale datasets have demonstrated remarkable efficacy across various downstream tasks for remote sensing…

cs.CV2023

Self-supervised Domain-agnostic Domain Adaptation for Satellite Images

Fahong Zhang, Yilei Shi, Xiao Xiang Zhu

Domain shift caused by, e.g., different geographical regions or acquisition conditions is a common issue in machine learning for global scale satellite image processing. A promisin…