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Application of Log-Cumulants to the Detection of Spatiotemporal Discontinuities in Multitemporal SAR Images

Abstract : Multitemporal satellite synthetic aperture radar (SAR) images are a useful source of information for geophysicists to monitor changing regions. In this paper, a new approach is proposed to extract from multitemporal SAR images two kinds of information: temporal changes (flooded areas, coastline erosion, etc.) and stable spatial features (roads, rivers, etc.). The novelty of the proposed approach is to detect simultaneously these two kinds of discontinuities. In a first step, the contrast and the heterogeneity information is extracted by a “multitemporal” application of the ratio of local means and by new three-dimensional texture parameters based on the log-cumulants. In a second step, the resulting attributes that measure the time variability or the presence of spatial features are merged. An interactive fuzzy fusion approach is proposed to provide end-users with a simple and easily understandable tool for tuning the change-detection results. The performances of the proposed attributes and fusion technique are presented on a set of seven multitemporal SAR images acquired by the European Remote Sensing (ERS-1) satellite.
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https://hal.archives-ouvertes.fr/hal-00514227
Contributor : Lionel Valet <>
Submitted on : Wednesday, September 1, 2010 - 4:32:40 PM
Last modification on : Wednesday, February 26, 2020 - 7:06:13 PM

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F. Bujor, Emmanuel Trouvé, Lionel Valet, Jean-Marie Nicolas, Jean-Paul Rudant. Application of Log-Cumulants to the Detection of Spatiotemporal Discontinuities in Multitemporal SAR Images. IEEE Transactions on Geoscience and Remote Sensing, Institute of Electrical and Electronics Engineers, 2004, 42 (10), pp.2073-2084. ⟨10.1109/TGRS.2004.835304⟩. ⟨hal-00514227⟩

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