Xiao Xiang Zhu

Artificial intelligence to advance Earth observation: : A review of models, recent trends, and pathways forward

2023 · arXiv (Cornell University)

Earth observation (EO) is a prime instrument for monitoring land and ocean processes, studying the dynamics at work, and taking the pulse of our planet. This article gives a bird's eye view of the essential …

SpectralEarth: Training Hyperspectral Foundation Models at Scale

2024 · arXiv (Cornell University)

Foundation models have triggered a paradigm shift in computer vision and are increasingly being adopted in remote sensing, particularly for multispectral imagery. Yet, their potential in hyperspectral imaging (HSI) remains untapped due to the absence …

Quantum Machine Learning for Earth Observation: A Review and Future Prospects

2025

Quantum Machine Learning (QML) is an emerging interdisciplinary field that leverages quantum computing principles to address complex computational challenges. Traditional machine learning (ML) and deep learning (DL) models face major challenges in Earth Observation (EO) …

Adaptive Gradient Calibration for Single-Positive Multi-Label Learning in Remote Sensing Image Scene Classification

2026 · IEEE Transactions on Geoscience and Remote Sensing

Multi-label classification (MLC) offers a more comprehensive semantic understanding of Remote Sensing (RS) imagery compared to traditional single-label classification (SLC). However, obtaining complete annotations for MLC is particularly challenging due to the complexity and high …