Radiometric Normalisation of Cross-Sensor Gaofen Images
Normalises radiometry across Gaofen sensors by detecting unchanged pixels with change detection and a chi-square test, then fitting a relative normalisation model.
Citation
Yan L., Yang J., Zhang Y., Zhao A., Li X. (2021). Radiometric normalization for cross-sensor optical Gaofen images with change detection and chi-square test. Remote Sensing, 13(16), 3125. doi:10.3390/rs13163125
Cover figure: Bitemporal change detection stage of the proposed relative radiometric normalisation method (part of Fig. 2). From Yan et al. (2021), Remote Sensing.
Authors
PhD Student in Geospatial AI
I am a PhD student at the Chair of Cartography and Visual Analytics
at the Technical University of Munich, supervised by Prof. Liqiu Meng and
mentored by Prof. Yu Feng. I came to AI from maps. I studied geodesy,
cartography and GIS at Wuhan University, where I first used language
models to make sense of geospatial code, and I now spend most of my time
on the AI side of GeoAI. Besides research, I supervise Master’s students
and maintain open learning resources on LLM agents and web scraping.