RS;
Sweden;
Saab Elect Def Syst;
Blekinge Inst Technol;
Univ Fed Santa Maria;
BR-97105900 Santa Maria;
S-41289 Kopingsvik;
S-37179 Karlskrona;
Brazil;
关键词：
synthetic aperture radar (SAR);
Adaptive signal processing;
change detection;
statistics;
期刊名称：
IEEE Transactions on Geoscience and Remote Sensing
i s s n：
0196-2892
年卷期：
2017 年
55 卷
1 期
页 码：
591-599
页 码：
摘 要：
This paper introduces a method to reduce false alarms in wavelength-resolution synthetic aperture radar (SAR) change detection and aims at very high frequency-band systems like the Coherent All Radio Band System (CARABAS). The false alarms are usually caused by the elongated structures, such as power lines and fences, which stand out from the background. The responses of elongated structures are sensitive to flight path. The introduced method aims at minimizing the false alarms caused by the elongated structures and is based on the well-known adaptive processing mechanism, i.e., the so-called adaptive noise canceler (ANC) where a separate reference signal is required. The changes between measurements are considered by the input signal of ANC while the separate reference signal comes from the measurements without change. Hence, the method requires three SAR images associated with three measurements, with no changes between two of them. The reference data for the study are provided by CARABAS. The experimental results indicate that the method can reduce false alarms significantly and provide high probability of detection (>= 98%). The experimental results also show that the method still works well even in the case where the flight tracks of the SAR system in the change detection measurements are slightly different.
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