Core Competency

AI Image Analysis
Core Technologies

AI Image Analysis

Markov Multi-Step Noise Addition

Improves the generalization capability of multimodal remote sensing imagery by leveraging a probabilistic model based on multi-step Markov noise injection.

Diffusion-Driven Posterior Sampling

Enables intelligent fusion of multimodal data by capturing interactions across spectral, spatial, and frequency domains, delivering more accurate and robust cross-domain insights.

High-Precision Land Cover Segmentation

Enables accurate segmentation for remote sensing land cover classification, achieving state-of-the-art performance across multiple datasets.