NDLI: The Multiscale Change Profile: A Statistical Similarity Measure for Change Detection in Multitemporal SAR Images

Content Provider	IEEE Xplore Digital Library
Author	Inglada, J. Mercier, G.
Copyright Year	2006
Description	Author affiliation: CNES, DCT/SI/AP, Toulouse (Inglada, J.)
Abstract	In this paper, we present a new similarity measure for automatic change detection in multitemporal SAR images. This measure is based on the evolution of the local statistics of the image between two dates. The local statistics are estimated using a cumulant-based series expansion which approximates the probability density functions in the neighborhood of each image pixel. The degree of evolution of the local statistics is measured using the Kullback-Leibler divergence. An analytical expression for this detector is given allowing a simple computation which depends only on the 4 first statistical moments of the pixels inside the analysis window. The concept of multiscale change profile (MCP) is also introduced and its optimized implementation is presented. MCP yields change information on a wide range of scales and better characterizes the appropriate scale to be used for the detection. Two simple examples of application show that the MCP allows the design of change indicators which provide better results than a monoscale analysis.
Starting Page	212
Ending Page	215
File Size	554351
Page Count	4
File Format	PDF
ISBN	0780395107
DOI	10.1109/IGARSS.2006.59
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-07-31
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Statistics Extraterrestrial measurements Detectors Radar detection Pixel Image analysis Speckle Probability density function Remote sensing Discrete cosine transforms
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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