Next Article in Journal
Application of A Precision Apiculture System to Monitor Honey Daily Production
Next Article in Special Issue
A Hybrid SAR/ISAR Approach for Refocusing Maritime Moving Targets with the GF-3 SAR Satellite
Previous Article in Journal
Nanostructured MOS Sensor for the Detection, Follow up, and Threshold Pursuing of Campylobacter Jejuni Development in Milk Samples
Previous Article in Special Issue
A Multi-Scale U-Shaped Convolution Auto-Encoder Based on Pyramid Pooling Module for Object Recognition in Synthetic Aperture Radar Images
Open AccessArticle

Wavelength-Resolution SAR Ground Scene Prediction Based on Image Stack

1
Programa de Pós-Graduação em Estatística, Universidade Federal de Pernambuco, Recife 50670-901, Brazil
2
Departamento de Engenharia de Telecomunicações, Universidade Federal do Pampa, Alegrete 97546-550, Brazil
3
Departamento de Engenharia Elétrica, Universidade Federal de Santa Catarina, Florianópolis 88040-900, Brazil
4
Department of Mathematics and Natural Sciences, Blekinge Institute of Technology, 371 79 Karlskrona, Sweden
5
Department of Telecommunications, Aeronautics Institute of Technology (ITA), São José dos Campos, SP 12228-900, Brazil
6
Signal Processing Group and Departamento de Estatística, Universidade Federal Pernambuco, Recife 50670-901, Brazil
7
Department of Electrical and Computer Engineering, University of Calgary, Calgary, AB T2N1N4, Canada
8
Department of Electrical and Computer Engineering, Florida International University, Miami, FL 33199, USA
9
Departamento de Estatística and LACESM, Universidade Federal de Santa Maria, Santa Maria 97105-900, Brazil
10
Saab Electronic Defence Systems, 412 76 Gothenburg, Sweden
*
Author to whom correspondence should be addressed.
Sensors 2020, 20(7), 2008; https://doi.org/10.3390/s20072008
Received: 13 February 2020 / Revised: 23 March 2020 / Accepted: 31 March 2020 / Published: 3 April 2020
(This article belongs to the Special Issue Recent Advancements in Radar Imaging and Sensing Technology)
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. View Full-Text
Keywords: CARABAS II; ground scene prediction; image stack; multi-pass; SAR images CARABAS II; ground scene prediction; image stack; multi-pass; SAR images
Show Figures

Figure 1

MDPI and ACS Style

Palm, B.G.; Alves, D.I.; Pettersson, M.I.; Vu, V.T.; Machado, R.; Cintra, R.J.; Bayer, F.M.; Dammert, P.; Hellsten, H. Wavelength-Resolution SAR Ground Scene Prediction Based on Image Stack. Sensors 2020, 20, 2008. https://doi.org/10.3390/s20072008

AMA Style

Palm BG, Alves DI, Pettersson MI, Vu VT, Machado R, Cintra RJ, Bayer FM, Dammert P, Hellsten H. Wavelength-Resolution SAR Ground Scene Prediction Based on Image Stack. Sensors. 2020; 20(7):2008. https://doi.org/10.3390/s20072008

Chicago/Turabian Style

Palm, Bruna G.; Alves, Dimas I.; Pettersson, Mats I.; Vu, Viet T.; Machado, Renato; Cintra, Renato J.; Bayer, Fábio M.; Dammert, Patrik; Hellsten, Hans. 2020. "Wavelength-Resolution SAR Ground Scene Prediction Based on Image Stack" Sensors 20, no. 7: 2008. https://doi.org/10.3390/s20072008

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop