Wavelength-Resolution SAR Ground Scene Prediction Based on Image StackVisa övriga samt affilieringar
2020 (Engelska)Ingår i: Sensors, E-ISSN 1424-8220, Vol. 20, nr 7, artikel-id 2008Artikel i tidskrift (Refereegranskat) Published
Abstract [en]
This paper presents five different statistical methods for ground scene prediction (GSP) in wavelength-resolution synthetic aperture radar (SAR) images. The GSP image can be used as a reference image in a change detection algorithm yielding a high probability of detection and low false alarm rate. The predictions are based on image stacks, which are composed of images from the same scene acquired at different instants with the same flight geometry. The considered methods for obtaining the ground scene prediction include (i) autoregressive models; (ii) trimmed mean; (iii) median; (iv) intensity mean; and (v) mean. It is expected that the predicted image presents the true ground scene without change and preserves the ground backscattering pattern. The study indicates that the the median method provided the most accurate representation of the true ground. To show the applicability of the GSP, a change detection algorithm was considered using the median ground scene as a reference image. As a result, the median method displayed the probability of detection of 97 % and a false alarm rate of 0 . 11 / km 2 , when considering military vehicles concealed in a forest.
Ort, förlag, år, upplaga, sidor
MDPI, 2020. Vol. 20, nr 7, artikel-id 2008
Nyckelord [en]
CARABAS II, ground scene prediction, image stack, multi-pass, SAR images, army, article, detection algorithm, forest, geometry, prediction, probability, telecommunication
Nationell ämneskategori
Annan elektroteknik och elektronik
Identifikatorer
URN: urn:nbn:se:bth-19389DOI: 10.3390/s20072008ISI: 000537110500204Scopus ID: 2-s2.0-85083022547OAI: oai:DiVA.org:bth-19389DiVA, id: diva2:1424462
Anmärkning
Open access
2020-04-172020-04-172022-02-10Bibliografiskt granskad