Engineering topics
Publications and source records attributed to Gamba, P..
In this paper they present a methodology to detect large geometrical structures from Interferometric Synthetic Aperture Radar (InSAR) measurements.
In this paper the task to extract significant built structures in Digital Surface Models is analyzed.
This paper presents the integration of 50 cm 4 band (R, G, B, and infrared) imagery with 80 cm LIDAR, and 2.5 meter posting IFSAR surface elevation models for urban scene analysis.
In this paper a fuzzy classification procedure is applied to polarimetric radar measurements, and street pixels are detected.
In this paper a machine vision approach is applied to IFSAR data to extract the most relevant built structures in a dense urban environment.
In this paper we present a complete procedure for the extraction and characterization of building structures starting from the three-dimensional (terrain elevation) data provided by interferometric SAR measurements.
In this paper a fuzzy classification procedure is applied to polarimetric radar measurements, and street pixels are detected. These data are successively grouped into consistent roads by means of a dynamic programming approach based on the fuzzy membership function values. Further fusion of the 2D road network extracted and 3D TOPSAR measurements provides a powerful way to analyze urban infrastructures.
In this paper a machine vision approach is applied to Interferometric Synthetic Aperture Radars (IFSAR) data to extract the most relevant built structures in a dense urban environment. The algorithm tries to cluster primitives (line segments) into more complex surfaces (planes) to approximate the 3D shape of these objects. Very interesting results starting from TOPSAR data recorded over S, Monica are presented.