The paper presents first results of an experimental analysis of surface recession using
advanced photogrammetric tools. Based on image pairs acquired with two DSLR cameras,
classical photogrammetry has been tried, but pixelwise image analysis with corresponding
matching algorithms show much better results ans higher stability to image noise and ra-
diation and re
ection issues. A combination of open source tools for the analysis of camera
positions and focal points, pixel matching analysis, and pixel cloud comparing, allows the
recession to be measured with very high local resolution of 20 �m of a 2D surface. The ap-
proach is analysed within this study with respect to window disturbance and experimental
setup constraints. A first plasma wind tunnel experiment shows the applicability and an
analysis of a central spot is comparable to laser recession measurements
