DATA FUSION FOR BUILDING RECONSTRUCTION FROM MULTI-ASPECT INSAR DATA

Fusion of Insar and Gis Data for 3d Building Reconstruction and Change Detection

The new generation of space-borne high resolution SAR sensors such as TerraSAR-X, SAR-Lupe or CosmoSkyMed provides SAR images of 1-3m spatial resolution or even below in special spotlight modes. Naturally, the development of methods to automatically derive detailed cartographic information of both rural and urban areas from this kind of data is a major issue driven by these missions. Since SAR ...

Image Reconstruction from Incomplete Data

Image Reconstruction from Incomplete Data

Geometric constraints for building reconstruction from InSAR data of urban areas

The automatic 3-D reconstruction of buildings for the generation of city models is of great interest for different tasks. Besides the classical photogrammetric approaches to determine object heights indirectly, range sensors like laser (LIDAR) and interferometric SAR (InSAR) play an important role since recent years. From both sensors images are produced with a ground resolution better than a m...

Building Extraction from Multiple Data Sources: a Data Fusion Framework for Reconstruction of Generic Models

Automated building extraction from multi-source data has attracted great attention in recent years. This paper presents an approach to automated building extraction by fusion of image data, height data and 2D ground plans. In this approach buildings are detected using ground plans and height data. A split-and-merge process is applied to fuse image and height data and derive the parametric forms...