Engineering topics
Publications and source records attributed to Houshmand, B..
In this paper they present a methodology to detect large geometrical structures from Interferometric Synthetic Aperture Radar (InSAR) measurements.
An overview of selected recent activities in the area of remote sensing for addressing some of th data collection and analysis efforts for urban areas is presented here.
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.
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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.
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We present the description of a processor which has been implemented to generate map products starting from C-band interferometric data. The first stage of the processor consists of the conventional interferometric SAR processing producing a Digital Elevation Model (DEMs) and a SAR brightness image in sensor coordinates.
We describe a processor which has been implemented to generate map products starting from C-band interferometric data. The first stage of the processor consists of the conventional interferometric synthetic aperture radar (SAR) processing producing a digital elevation model (DEM) and a SAR brightness image in sensor coordinates. In the second stage of processing, a land use classification map is obtained by using the DEM, brightness, and interferometric correlation layers. Auxiliary layers which include a drainage layer, a height gradient layer, a height error layer, an estimated penetration layer, and a shaded relief layer are also computed. In the final step, all UTM collocated layers are combined in a geographical information system (GIS) which allows for both hard copy map products and digital applications.
We present the description of a processor which has been implemented to generate map products starting from C-band interferometric data. The first stage of the processor consists of the conventional interferometric SAR processing producing a Digital Elevation Model (DEMs) and a SAR brightness image in sensor coordinates. In the second stage of processing, a land use classification map is obtained by using the DEM, brightness, and interferometric correlation layers. Auxiliary layers which include a drainage layer, a height gradient layer, a height error layer, an estimated penetration layer, and a shaded relief layer are also computed. In the final step, all UTM collocated layers are combined in a GIS system which allows for both hard copy map products and for digital applications.