A Non-Parametric Texture Descriptor for Polarimetric SAR Data with Applications to Supervised Classification

The paper describes a novel representation of polarimetric SAR (PolSAR) data that is inherently non-parametric and therefore particularly suited for characterising data in which the commonly adopted hypothesis of Gaussian backscatter is not appropriate. The descriptor is also non-local and can capture image structure in terms of the arrangement of edge-, ridge- and point-like features, to yield a salient characerisation of semi-periodic spatial patterns. The basic approach is based closely on [1] and has been adapted for application to PolSAR data. As an example application, the descriptor is evaluated in the context of supervised classification. The performance is compared with conventional statistical approaches on both simulated and real PolSAR dat

Additional illustrations of NL-SAR method for resolution-preserving (Pol)(In)SAR denoising

This document provides additional information and results of the method NL-SAR described in our paper: "NL-SAR: a unified Non-Local framework for resolution-preserving (Pol)(In)SAR denoising" submitted to IEEE Trans. on Geoscience and Remote Sensing [Deledalle et al., 2013]. NL-SAR is a fully automatic method for speckle reduction that handles amplitude, polarimetric and/or interferometric SAR data. It can process single look and multi-look images. The source code of the method is freely available at: http://www.math.u-bordeaux1.fr/cdeledal/nlsar.php

First principles global optimization of metal clusters and nanoalloys

The global optimization of nanoparticles, such as pure or bimetallic metal clusters, has become a very important and sophisticated research field in modern nanoscience. The possibility of using more rigorous quantum chemical first principle methods during the global optimization has been facilitated by the development of more powerful computer hardware as well as more efficient algorithms. In this review, recent advances in first principle global optimization methods are described, with the main focus on genetic algorithms coupled with density functional theory for optimizing sub-nanometre metal clusters and nanoalloys

The Impact of Edge Effects & Matrix Restoration on Dung Beetle Community Structure & Ecosystem Function

Land-use change has become a force of global importance and has gained status as the most important driver of ecosystem degradation. The resulting creation of habitat edges has pervasive impacts on the distribution and persistence of species in forest ecosystems. Responses of species to edge effects can be highly dependent on ‘response’ traits, which may in turn co-vary with ‘effect’ traits that determine rates of ecosystem functioning. Therefore, non-random loss of species due to traits conferring higher susceptibility to extinction may also result in the loss of functionally-important species across a habitat edge gradient. Likewise, response and effect traits may be important in determining reassembly of communities in regenerating habitats, which may provide insight into potential scenarios of functional responses to restoration efforts. To test for potential off-site effects of adjacent matrix habitat restoration on dung beetle communities, I compared dung beetle community structure and species trait composition across Afromontane forest edges adjacent to degraded and regenerating matrix habitat at Ngel Nyaki forest reserve in Nigeria. I also measured dung removal rates across habitat edge gradients to investigate the relative off-site impacts of matrix restoration on dung beetle-mediated ecosystem processes. I found significant effects of adjacent matrix condition on edge response functions in dung beetle abundance, species distributions, and trait composition. Beetle abundances were markedly higher in forests adjacent to regenerating matrix, whereas the largest differences in trait composition were found between degraded and regenerating matrix habitat, indicating the presence of ecological filtering processes in these areas. Furthermore, I found that species traits determined community structural responses to environmental change and this had strong flow-on effects to rates of dung removal. Shifts in trait distributions explained dung removal rates above and beyond total beetle mass, suggesting that neutral processes alone could not explain functional efficiency. In particular, habitat regeneration resulted in the assembly of communities with high total beetle mass and on-average smaller beetles, which was optimal for functional efficiency. In conclusion, the restoration of adjacent matrix habitat was shown to effectively mitigate edge effects on dung beetle community structure resulting in the re-establishment of important associated ecosystem processes

Electrochemistry and Spin-Crossover Behavior of Fluorinated Terpyridine-Based Co(II) and Fe(II) Complexes

Due to their ability to form stable molecular complexes that have tailor-made properties, terpyridine ligands are of great interest in chemistry and material science. In this regard, we prepared two terpyridine ligands with two different fluorinated phenyl rings on the backbone. The corresponding CoII and FeII complexes were synthesized and characterized by single-crystal X-ray structural analysis, electrochemistry and temperature-dependent SQUID magnetometry. Single crystal X-ray diffraction analyses at 100 K of these complexes revealed Co−N and Fe−N bond lengths that are typical of low spin CoII and FeII centers. The metal centers are coordinated in an octahedral fashion and the fluorinated phenyl rings on the backbone are twisted out of the plane of the terpyridine unit. The complexes were investigated with cyclic voltammetry and UV/Vis-NIR spectroelectrochemistry. All complexes show a reversible oxidation and several reduction processes. Temperature dependent SQUID magnetometry revealed a gradual thermal SCO behavior in two of the complexes, while EPR spectroscopy provided further insights on the electronic structure of the metal complexes, as well as site of reduction