Finding curves in SAR CCD images

This paper introduces a pattern recognition and computer vision approach to mitigating false alarms in synthetic aperture radar (SAR) coherence change detection (CCD) images. In this paper, we perform an automatic detection of roads in SAR CCD images. The approach is based on a curve tracing algorit...

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Veröffentlicht in:2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) S. 2024 - 2027
Hauptverfasser: Cha, Miriam, Phillips, Rhonda, Yee, Michael
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 01.05.2011
Schlagworte:
CCD
change detection
Charge coupled devices
Coherence
curve detection
Pixel
regression splines
Roads
SAR
Spline
Synthetic aperture radar
ISBN:9781457705380, 1457705389
ISSN:1520-6149
Online-Zugang:Volltext
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Beschreibung
Zusammenfassung:This paper introduces a pattern recognition and computer vision approach to mitigating false alarms in synthetic aperture radar (SAR) coherence change detection (CCD) images. In this paper, we perform an automatic detection of roads in SAR CCD images. The approach is based on a curve tracing algorithm originally proposed by Steger with modifications to better suit the goal of curve detection in SAR CCD images. In our technique, the traditional Steger's method is used to detect curve points, and cubic splines are used to approximate the original curve. To detect roads more accurately, preprocessing and outlier removal techniques are performed along with the curve detection.
ISBN:9781457705380
1457705389
ISSN:1520-6149
DOI:10.1109/ICASSP.2011.5946909