The research article “StainView: A Fast and Reliable Method for Mapping Stains in Facades Using Image Classification in HSV and CIELab Colour Space”, published in Remote Sensing, showcases a creative leap in scientific communication. Alongside the publication, the researchers released a concise video abstract, under three minutes, to highlight the study’s findings in an engaging and accessible format for a wider audience.
About the Study
Authored by CERIS researchers Marta Torres-Gonzáles, Jónatas Valença, Bruno O. Santos, Ana Silva, and Maria P. Mendes, this study was part of the CERIS-supported project FEELING THE CITY, led by Ana Silva.
The project focuses on advancing methodologies for automating the inspection, monitoring, and classification of building façade degradation, incorporating citizen perceptions and emotional responses. Using case studies from a single neighbourhood—with similar building typologies in varying states of degradation—the research offers a novel perspective on tackling urban building decay.
Key Highlights
- Developed StainView, an innovative method leveraging image classification in HSV and CIELab colour spaces to map façade stains quickly and reliably.
- Provided insights into the emotional and perceptual impacts of urban degradation through citizen-focused analysis.
- Demonstrated how emerging technologies can bridge scientific research and societal needs for sustainable urban environments.
This integration of technical rigor with public engagement exemplifies CERIS’s commitment to impactful and inclusive research.
🔗 For more details, explore the full article in Remote Sensing.