High-resolution optical and SAR image fusion for building database updating

Vincent Poulain (1) , Jordi Inglada (1, 2) , Marc Spigai , Jean-Yves Tourneret (3) , Philippe Marthon (3)

1 THALES [France]
2 CESBIO - Centre d'études spatiales de la biosphère
3 IRIT - Institut de recherche en informatique de Toulouse

This paper addresses the issue of cartographic database (DB) creation or updating using high-resolution synthetic aperture radar and optical images. In cartographic applications, objects of interest are mainly buildings and roads. This paper proposes a processing chain to create or update building DBs. The approach is composed of two steps. First, if a DB is available, the presence of each DB object is checked in the images. Then, we verify if objects coming from an image segmentation should be included in the DB. To do those two steps, relevant features are extracted from images in the neighborhood of the considered object. The object removal/inclusion in the DB is based on a score obtained by the fusion of features in the framework of Dempster–Shafer evidence theory.

Keywords: Change detection; Data fusion; Feature extraction - Image analysis; Image databases

Domains: Databases [cs.DB]; Signal and Image Processing; Optics / Photonic

Vincent Poulain, Jordi Inglada, Marc Spigai, Jean-Yves Tourneret, Philippe Marthon. High-resolution optical and SAR image fusion for building database updating. IEEE Transactions on Geoscience and Remote Sensing, 2011, 49 (8), pp.2900-2910. ⟨10.1109/TGRS.2011.2113351⟩. ⟨hal-03545385⟩