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A robust nonlinear scale space change detection approach for SAR images

Berk Sevilmis, Osman Erman Okman, Fatih Nar, Can Demirkesen, Müjdat Çetin, Lorenzo Bruzzone
2013 Image and Signal Processing for Remote Sensing XIX  
In this paper, we propose a change detection approach based on nonlinear scale space analysis of change images for robust detection of various changes incurred by natural phenomena and/or human activities  ...  The performance of the proposed method is evaluated using real multitemporal high resolution TerraSAR-X images and synthetically generated multitemporal images composed of shapes with several orientations  ...  Bazi et al. 4 proposed a feedback driven unsupervised change detection scheme based on Kittler-Illingworth (KI) thresholding technique applied on the generalized Gaussian distribution used to model the  ... 
doi:10.1117/12.2030189 fatcat:ah3fav3wxved5lplnxfwcygspe

A New Deep Generative Network for Unsupervised Remote Sensing Single-Image Super-Resolution

Juan Mario Haut, Ruben Fernandez-Beltran, Mercedes E. Paoletti, Javier Plaza, Antonio Plaza, Filiberto Pla
2018 IEEE Transactions on Geoscience and Remote Sensing  
Super-resolution (SR) brings an excellent opportunity to improve a wide range of different remote sensing applications.  ...  SR techniques are concerned about increasing the image resolution while providing finer spatial details than those captured by the original acquisition  ...  Song, "Unsupervised object-based change detection via a weibull mixture model-based binarization for high-resolution remote sensing images," IEEE Geoscience and Remote Sensing Letters, vol. 15, no. 1,  ... 
doi:10.1109/tgrs.2018.2843525 fatcat:ify6otg6jvchxf6ubi2r2o3icq

Health—exploring complexity: an interdisciplinary systems approach HEC2016

Eva Grill, Martin Müller, Ulrich Mansmann
2016 European Journal of Epidemiology  
Conclusion This work presents a knowledge model computerizing behaviour change theory in order to develop personalized action plans for behaviour change-the plans are based on evidence-based behaviour  ...  via a web UI.  ...  Still, as we used graph entry URLs of very high credibility, the resulting graph structure can be assumed as a valid partial representation of the GHW.  ... 
doi:10.1007/s10654-016-0183-1 pmid:27522353 fatcat:dcl3nbpygvh5fg7keri74h55ie

Requirements of a habitat specialist in Swiss mountain forests – an assessment of forest structure and composition using laser remote sensing and field data

Florian Zellweger, Felix Morsdorf, Veronika Braunisch, Kurt Bollmann
2012
Remote sensing technologies such as light detection and ranging (LiDAR) provide alternative tools to quantify structural elements across relatively broad areas at a fine resolution.  ...  The dependent variable consisted of hazel grouse presence/absence data at a resolution of 1 km2.  ...  thank Ontario Ministry of Nature Resource (OMNR) for providing the high-spatial resolution aerial images.  ... 
doi:10.5167/uzh-77306 fatcat:gtpnt3jpdfcjpcdlxw6sxjei44

Development of multimodal diagnostic tools for epilepsy patients implanted with intracranial micro- and macroelectrodes

Tóth Emília, Ulbert István, Fabó Dániel
2016
Here, we used a method of deriving robust effective connectivity networks with high spatiotemporal resolution.  ...  efficacy always depends on some kind of threshold or even a mixture of thresholds.  ... 
doi:10.15774/ppke.itk.2016.004 fatcat:gc2g44xvurc5nfrw4phlc4um3m