NDLI: A maximum likelihood approach for detecting a step pattern of change and locating the transition instant in a sequence of multitemporal SAR images

Content Provider	IEEE Xplore Digital Library
Author	Pellizzeri, T.M. Lombardo, P.
Copyright Year	2001
Description	Author affiliation: INFOCOM Dept., Rome Univ., Italy (Pellizzeri, T.M.)
Abstract	In this work we derive two different detectors that fully exploit the information available in a multitemporal sequence of M SAR images with regions possibly affected by step changes in reflectivity, with unknown transition instant. These detectors process the whole sequence using a maximum likelihood approach to: (i) locate the transition instant, and (ii) discriminate between regions affected and not affected by a step change. The KSP-detector assumes that the two mean RCS levels are known, while the USP-detector assumes that the two mean RCS levels are unknown. Two different approximations for the probability of correctly locating the transition instant for the KSP-detector are considered, thus obtaining two analytical performance expressions. The practical effectiveness of the technique is shown by applying the USP-detector to a sequence of 10 ERS-1 SAR images of forest and agricultural areas.
Starting Page	1484
Ending Page	1486
File Size	103197
Page Count	3
File Format	PDF
ISBN	0780370317
DOI	10.1109/IGARSS.2001.976886
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2001-07-09
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Maximum likelihood detection Detectors Reflectivity Postal services Performance analysis Earth Satellites Scattering Data models Radio access networks
Content Type	Text
Resource Type	Article

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