Title
Extraction of Building Features from Stand-Off Measured Through-Wall Radar Data
Author
de Wit, J.J.M.
van Rossum, W.L.
Publication year
2016
Abstract
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 specific 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
Subject
Observation, Weapon & Protection Systems
RT - Radar Technology
TS - Technical Sciences
Safety and Security
Radar
Defence, Safety and Security
Overcomplete dictionary (OCD)
Radar imaging
Sparse reconstruction
Through-wall radar.
To reference this document use:
http://resolver.tudelft.nl/uuid:cecef7cc-14ae-45b5-ad43-02943b4c3286
DOI
https://doi.org/10.1109/jstars.2015.2429737
TNO identifier
533661
Source
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 9 (1), 149-158
Document type
article