Complexity based Analysis of Earth Observation Imagery: an Assessment
Daniele Cerra, Alexandre Mallet, Lionel Gueguen, Mihai P. Datcu · elib (German Aerospace Center) · 2008
this paper proposes complexity based analysis as a valid alternative to classic image analysis methodologies for Earth Observation imagery, which are heavily dependant on the assumed data models. We will show the power of this totally model-free, data-driven methods by presenting three very different applications relying on complexity based analysis: image classification, artifact detection, and database compression which enables queries directly on the compressed content.