FEATURE EXTRACTION FOR QUALITY ASSESSMENT OF AERIAL IMAGE SEGMENTATION
Valérie Hélène Letournel · 2002
We present a new evaluation methodology and a feature extraction scheme for segmentation algorithms in the context of photo-interpretation. The novelty of the proposed methodology is that subjective evaluation marks are involved in the determination of the feature subspace. In fact, our aim is to determine features in alignment with the perception of photo-interpreters, alternatively called psychovisual features. The proposed methodology was applied to the detection of building targets in aerial images. More specifically we considered the delineation of polygonal buildings in semiurban areas on IKONOS images (1 meter resolution). We determined from the images, concurrently, various objective performance measures and collected votes of a jury of evaluators. The methodology to find the concordance between objective features and subjective marks was the canonical analysis of tables.