Abstract Grapevine simulation models are mostly used to estimate plant development, growth and yield at plot scale. However, the spatial variability of pedologic micro-climatic conditions can influence vine growth, leading a sub-field heterogeneity in vigor final that may be better estimated through assimilation high resolution data crop models. In this study, grapevine intercepted radiation fr...

The main precondition for applications such as face recognition and face de-identification for privacy protection is efficient face detection in real scenes. In this paper, we propose a hybrid cascade model for face detection in the wild. The cascaded two-stage model is based on the fast normalized pixel difference (NPD) detector at the first stage, and a deep convolutional neural network (CNN)...

In this letter, the authors present a single-image super-resolution method based on introducing novel spectral normalization to convolution of deep residual network. Moreover, construct new block (RB) and assemble it in cascade form. The RB was restructured by spectrally normalized layers activated function. addition, allows introduced trained network update additional weights. Furthermore, min...

There are growing demands for detailed and accurate land cover maps in land system research and planning. Macro-scale land cover maps normally cannot satisfy the studies that require detailed land cover maps at micro scales. In the meantime, applying conventional pixel-based classification methods in classifying high-resolution aerial imagery is ineffective to develop high accuracy land-cover m...

We propose a motion segmentation algorithm that aims to break a scene into its most prominent moving groups. Instead of identifying point correspondences between the image frames, the idea to nd what groups of pixels are transformed from one image frame to another. To do this, we treat the image sequence as a three dimensional spatiotemporal data set and construct a weighted graph by taking eac...

Recognizing the sex of conspecifics is important. Humans rely primarily on visual pattern recognition for this task. A wide variety of linear and nonlinear models have been developed to understand this task of sex recognition from human faces.' These models have used both pixelbased and feature-based representations of the face for input. Fleming and Cottrell (1990) and Golomb et a!. (1991) uti...

Ridge detection in digital imagery, unlike edge detection, is an area that has received relatively little attention. Ridges are long, narrow structures that are perceptibly brighter than the background. Examples of ridges include roads in aerial images and vessels in medical images. The ability to rapidly and accurately label ridge pixels in a digital image is an important first step in many co...

We first describe how to “fuzzify” the estimated binary columns to create a [0,1]-valued column. Werefer to this [0,1] -valued column as the soft segmentation column of the noisy spectrogram column.Similarly to the collection of soft segmentation columns as the soft segmentation image, or simply asthe soft segmentation. The band-dependent posterior probability that the hard segmentation columnv...

‎Let $G$ be a graph without an isolated vertex‎, ‎the normalized Laplacian matrix $tilde{mathcal{L}}(G)$‎ ‎is defined as $tilde{mathcal{L}}(G)=mathcal{D}^{-frac{1}{2}}mathcal{L}(G)mathcal{D}^{-frac{1}{2}}$‎, where ‎$mathcal{D}$ ‎is a‎ diagonal matrix whose entries are degree of ‎vertices ‎‎of ‎$‎G‎$‎‎. ‎The eigenvalues of‎ $tilde{mathcal{L}}(G)$ are ‎called as ‎the ‎normalized Laplacian eigenva...