Jean-Philippe Malet

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Surface fissures are important indicators for slope instability and their patterns reveal information about the distribution of strain and mechanical processes. The increasing availability of sub-decimeter resolution aerial images may enable the detection and mapping of such features with imagery. This study combines Gaussian matched filters and first order(More)
13 We apply an image correlation technique to multi-orbit and multi-temporal High-Resolution (HR) SAR 14 data. Image correlation technique has the advantage of providing displacement maps in two 15 directions; e.g. the Line of Sight direction (LoS) and the Azimuth direction. This information, derived 16 from the two modes of data acquisition (ascending and(More)
Active learning (AL) algorithms have been proven useful in reducing the number of required training samples for remote sensing applications; however, most methods query samples pointwise without considering spatial constraints on their distribution. This may often lead to a spatially dispersed distribution of training points unfavorable for visual image(More)
* Institut de Physique du Globe, UMR 7516 ULP/CNRS, 5 rue Descartes, F-67084 Strasbourg Cedex, ** Faculty of Geosciences, UCEL, University of Utrecht, P.O. Box 80115, 3508 TC Utrecht, The Netherlands *** CNR-IDPA, Sezione de Milano, Piazza della Scienza 1, I-20126 Milano, Italy. **** Geosyscom, Géographie des Systèmes(More)
The French Atomic Energy Commission (CEA) and the Radiation protection and Nuclear Safety Institute (IRSN) are developing a hydrogen risk analysis code (safety code) which incorporates both lumped parameter (LP) and computational fluid dynamics (CFD) formulations. In this paper we present the governing equations, numerical strategy and schemes used for the(More)
Active learning (AL) is a powerful framework to reduce labeling costs in supervised classification. However, spatial constraints on the sampling design have not yet received much attention and still pose problems for the application of AL on remote sensing data. In this study such issues are addressed in the context of landslide inventory mapping and it is(More)