Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Following a decrease in the number of observed roe deer in the Sonian forest, a study was set up in 2015 to determine the evolution of detectability within this forest. The objective of this work is to determine if the roe deer population in the Sonian forest has currently decreased. To reach this objective, the Abundance Kilometric Index has been analyzed since its implementation in 2008 to determine a possible change in the population size. The year 2018 is the second year in which the impact of forest visibility and lower layer vegetation on detectability is studied. These two studies constituting two points of reference in time allowed the analysis of the evolution of the detectability. An estimate of the population size was also projected through the application of an absolute counting method, Distance sampling.
The results obtained are consistent: despite vegetation development, the detectability has not changed, a decrease in the population level verified by the Abundance Kilometric Index and a decrease in the population size of 40% between 2009 and 2018, estimated at 106 roe deer in 2018.
That proves that the roe deer population in the Sonian forest has declined these last years. Suite à une diminution du nombre de chevreuils observés en forêt de Soignes, une étude a été mise en place en 2015 visant à déterminer l’évolution de la détectabilité au sein de cette forêt. L’objectif recherché par ce travail est de déterminer si la population de chevreuils en forêt de Soignes a réellement diminué. Pour ce faire, l’Indice Kilométrique d’Abondance a été analysé depuis sa mise en place en 2008 afin de déterminer une éventuelle modification dans la taille de la population. L’année 2018 est la deuxième année où l’impact de la visibilité en forêt et de la végétation des strates inférieures sur la détectabilité est recherché. Ces deux études constituant deux points de repères dans le temps ont permis l’analyse de l’évolution de la détectabilité. Une estimation de l’effectif de la population a également été projetée grâce à l’application d’une méthode de dénombrement absolue, le Distance sampling.
Les résultats obtenus concordent : malgré un développement de la végétation, la détectabilité n’a pas évolué, une diminution du niveau de la population vérifiée par l’Indice Kilométrique d’Abondance et une diminution de l’effectif de la population de 40% entre 2009 et 2018, effectif estimé à 106 chevreuils en 2018.
Ceci permet d’affirmer que la population de chevreuils en forêt de Soignes a diminué au cours de ces dernières années.

Sonian Forest --- roe deer --- distance sampling --- kilometric index --- detectability --- Soignes --- chevreuil --- indice kilométrique --- détectabilité --- Sciences du vivant > Agriculture & agronomie

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Image analysis is a fundamental task for any application where extracting information from images is required. The analysis requires highly sophisticated numerical and analytical methods, particularly for those applications in medicine, security, and other fields where the results of the processing consist of data of vital importance. This fact is evident from all the articles composing the Special Issue "Entropy in Image Analysis II", in which the authors used widely tested methods to verify their results. In the process of reading the present volume, the reader will appreciate the richness of their methods and applications, in particular for medical imaging and image security, and a remarkable cross-fertilization among the proposed research areas.

History of engineering & technology --- image binarization --- optical character recognition --- local entropy filter --- thresholding --- image preprocessing --- image entropy --- image encryption --- medical color images --- RGB --- chaotic system --- crowd behavior analysis --- salient crowd motion detection --- repulsive force --- direction entropy --- node strength --- Pompe disease --- children --- quantitative muscle ultrasound --- texture-feature parametric imaging --- compound chaotic system --- S-box --- image information entropy --- image chaotic encryption --- cryptography --- Latin cube --- bit cube --- chosen plaintext attack --- atmosphere background --- engine flame --- infrared radiation --- detectability --- image quality evaluation --- image retrieval --- pooling method --- convolutional neural network --- feature distribution entropy --- lossless compression --- pattern classification --- machine learning --- malaria infection --- entropy --- Golomb–Rice codes --- image processing --- image segmentation --- weld segmentation --- weld evaluation --- convolution neural network --- Python --- Keras --- RSNNS --- MXNet --- brain-computer interface (BCI) --- electroencephalography (EEG) --- motor imagery (MI) --- continuous wavelet transform (CWT) --- convolutional neural network (CNN) --- hyperchaotic system --- filtering --- DNA computing --- diffusion --- deep neural network --- data expansion --- blind image quality assessment --- saliency and distortion --- human visual system --- declining quality --- data hiding --- AMBTC --- steganography --- stego image --- dictionary-based coding --- pixel value adjusting --- neuroaesthetics --- symmetry --- balance --- complexity --- chiaroscuro --- normalized entropy --- renaissance --- portrait paintings --- art history --- art statistics --- chaotic systems --- DNA coding --- security analysis --- magnetic resonance images --- non-maximum suppression --- object detection --- key-point detection --- IoU --- feature fusion --- quasi-resonant Rossby/drift wave triads --- Mordell elliptic curve --- pseudo-random numbers --- substitution box --- nuclear spin generator --- medical image --- peak signal-to-noise ratio --- key space calculation --- Duchenne muscular dystrophy --- ultrasound --- backscattered signals --- medical imaging --- neural engineering --- computer vision --- crowd motion detection --- security

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Image analysis is a fundamental task for any application where extracting information from images is required. The analysis requires highly sophisticated numerical and analytical methods, particularly for those applications in medicine, security, and other fields where the results of the processing consist of data of vital importance. This fact is evident from all the articles composing the Special Issue "Entropy in Image Analysis II", in which the authors used widely tested methods to verify their results. In the process of reading the present volume, the reader will appreciate the richness of their methods and applications, in particular for medical imaging and image security, and a remarkable cross-fertilization among the proposed research areas.

History of engineering & technology --- image binarization --- optical character recognition --- local entropy filter --- thresholding --- image preprocessing --- image entropy --- image encryption --- medical color images --- RGB --- chaotic system --- crowd behavior analysis --- salient crowd motion detection --- repulsive force --- direction entropy --- node strength --- Pompe disease --- children --- quantitative muscle ultrasound --- texture-feature parametric imaging --- compound chaotic system --- S-box --- image information entropy --- image chaotic encryption --- cryptography --- Latin cube --- bit cube --- chosen plaintext attack --- atmosphere background --- engine flame --- infrared radiation --- detectability --- image quality evaluation --- image retrieval --- pooling method --- convolutional neural network --- feature distribution entropy --- lossless compression --- pattern classification --- machine learning --- malaria infection --- entropy --- Golomb–Rice codes --- image processing --- image segmentation --- weld segmentation --- weld evaluation --- convolution neural network --- Python --- Keras --- RSNNS --- MXNet --- brain-computer interface (BCI) --- electroencephalography (EEG) --- motor imagery (MI) --- continuous wavelet transform (CWT) --- convolutional neural network (CNN) --- hyperchaotic system --- filtering --- DNA computing --- diffusion --- deep neural network --- data expansion --- blind image quality assessment --- saliency and distortion --- human visual system --- declining quality --- data hiding --- AMBTC --- steganography --- stego image --- dictionary-based coding --- pixel value adjusting --- neuroaesthetics --- symmetry --- balance --- complexity --- chiaroscuro --- normalized entropy --- renaissance --- portrait paintings --- art history --- art statistics --- chaotic systems --- DNA coding --- security analysis --- magnetic resonance images --- non-maximum suppression --- object detection --- key-point detection --- IoU --- feature fusion --- quasi-resonant Rossby/drift wave triads --- Mordell elliptic curve --- pseudo-random numbers --- substitution box --- nuclear spin generator --- medical image --- peak signal-to-noise ratio --- key space calculation --- Duchenne muscular dystrophy --- ultrasound --- backscattered signals --- medical imaging --- neural engineering --- computer vision --- crowd motion detection --- security