Iterative Change Detection Algorithm for Low-Frequency UWB SAR

This paper presents an iterative change detection algorithm for low frequency UWB synthetic aperture radar (SAR) images. The proposed algorithm was compared in terms of false alarm rate (FAR) and probability of detection (PD) to the method presented by the Swedish Defense Research Agency (FOI) [1]. The experimental analysis considered a set of 24 SAR images acquired in a military area of 6 km in northern Sweden. The numerical results have shown that the proposed algorithm has a superior performance when compared to the algorithm proposed in [1]. Keywords— SAR, CDA, CFAR, CARABAS

[1]  Dongmei Chen,et al.  Change detection from remotely sensed images: From pixel-based to object-based approaches , 2013 .

[2]  John R. Jensen,et al.  Introductory Digital Image Processing: A Remote Sensing Perspective , 1986 .

[3]  Lars M. H. Ulander,et al.  A challenge problem for detection of targets in foliage , 2006, SPIE Defense + Commercial Sensing.

[4]  Zong-Guo Xia,et al.  SAR applications in human settlement detection, population estimation and urban land use pattern analysis: a status report , 1997, IEEE Trans. Geosci. Remote. Sens..

[5]  Douglas C. Montgomery,et al.  Introduction to Statistical Quality Control , 1986 .

[6]  C. L. Winter,et al.  Bayesian inference-based fusion of radar imagery, military forces and tactical terrain models in the image exploitation system/balanced technology initiative , 1995, Int. J. Hum. Comput. Stud..

[7]  Charles W. Champ,et al.  Phase I control charts for times between events , 2002 .

[8]  Josiane Zerubia,et al.  Modeling SAR images with a generalization of the Rayleigh distribution , 2004, IEEE Transactions on Image Processing.

[9]  Patrick Bogaert,et al.  An object-based change detection method accounting for temporal dependences in time series with medium to coarse spatial resolution , 2008 .

[10]  M. Bauer,et al.  Digital change detection in forest ecosystems with remote sensing imagery , 1996 .

[11]  Ashbindu Singh,et al.  Review Article Digital change detection techniques using remotely-sensed data , 1989 .

[12]  P.-O. Frolind,et al.  Fully automatic geo-coding of CARABAS-II VHF SAR images , 1999, IEEE 1999 International Geoscience and Remote Sensing Symposium. IGARSS'99 (Cat. No.99CH36293).

[13]  Anders Gustavsson,et al.  Detection of concealed ground targets in CARABAS SAR images using change detection , 1999, Defense, Security, and Sensing.

[14]  Roger M. Sauter,et al.  Introduction to Statistical Quality Control (2nd ed.) , 1992 .

[15]  Yosio Edemir Shimabukuro,et al.  Detecting deforestation with multitemporal L‐band SAR imagery: a case study in western Brazilian Amazônia , 2007 .

[16]  Lars M. H. Ulander,et al.  Synthetic-aperture radar processing using fast factorized back-projection , 2003 .

[17]  C. Metz.  Basic principles of ROC analysis. , 1978, Seminars in nuclear medicine.