Extraction of Building Features from Stand-Off Measured Through-Wall Radar Data
article
Automated extraction of building features is a great aid in synthesizing building maps from radar data. In this paper, a model-based method is described to detect and classify canonical scatters, such as corners and planar walls, inside a building. Once corners and walls have been located, a building map can be synthesized. To detect and classify the canonical scatterers, sparse reconstruction with an overcomplete dictionary is used. The dictionary is tuned to phase models that are speciļ¬c to the different canonical scatterers, i.e., a linear phase change for walls and a quadratic phase change for corners. This is a potentially robust method for detecting canonical scatterers because the polynomial degree of the measured phase is preserved, even after propagation through a wall. Building-feature extraction results obtained with actually stand-off measured through-wall radar data are discussed
TNO Identifier
533661
Source
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 9(Januari), pp. 149-158.
Pages
149-158
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