The aim of infrared and visible image fusion is to obtain an integrated that contains obvious object information high spatial resolution background information. more conductive for a human or machine understand mine the contained in image. To attain this purpose, algorithm based on multi-level Gaussian curvature filtering (MLGCF) decomposition proposed. First, MLGCF presented employed decompose input source images into three different layers: small-scale, large-scale, base layers. Then,...

Anomaly detection based on 3D point cloud data is an important research problem and receives more attention recently. Untrained anomaly only one sample emerging motivated by real manufacturing industries such as personalized that can be collected without any additional labels. How to accurately identify anomalies a critical challenge in both industrial applications the field of machine learning. This paper aims provide formal definition untrained data, discuss differences between current...

Most target tracking is over visible videos, but in a challenging scene, targets with the same appearance very difficult on due to limitation of grayscale and color information. Therefore, we use Hyperspectral Videos (HSVs) rich spectral information for distinguish similar targets. In this paper, multi-features integration based method proposed HSV. The feature maps are generated by Histogram Gradient (HOG) pretrained VGG-19 network, then kernelized correlation filter framework utilized...

Deep learning-based image super-resolution has shown significantly good performance in improving quality. In this paper, the RGB-IR cross input and sub-pixel upsampling network is proposed to increase spatial resolution of an Infrared (IR) by combining it with a color higher obtained different imaging modality. Specifically, accomplished fusion features map two inputs reconstruction infrared image. To improve accuracy feature extraction, deconvolution replaced convolution upsample network....

Contradictions in spatial resolution and temporal coverage emerge from earth observation remote sensing images due to limitations technology cost. Therefore, how combine with low yet high as well those construct both has become an important problem called spatio-temporal fusion research practice. A Multi-Dictionary Bayesian Spatio-Temporal Reflectance Fusion Model (MDBFM) been proposed this paper. First, multiple dictionaries regions of different classes are trained. Second, a framework is...

DInSAR technique based on time series of SAR images has been very popular to monitor ground slow deformation in recent years,such as permanent scatterers (PS)method, small baseline subsets (SBAS)method,and coherent targets (CT)method.By taking advantage PS method and CT method,in this paper,small is used investigate the Taiyuan City,Shanxi Province,from 2003 2009 by using 23 ENVISAT ASAR images.The experiment results demonstrate that;(1)during period, four significant subsidence centers have...

Panchromatic (PAN) images contain abundant spatial information that is useful for earth observation, but always suffer from low-resolution ( LR) due to the sensor limitation and large-scale view field. The current super-resolution (SR) methods based on traditional attention mechanism have shown remarkable advantages remain imperfect reconstruct edge details of SR images. To address this problem, an improved model which involves self-attention augmented Wasserstein generative adversarial...

Pixel-level image fusion, which is widely used in remote sensing, medical imaging, surveillance and etc., directly combines the original information source images. As a pixel-level method, multi-focus fusion designed to combine partially focused images into one fully fused single image, expected be more informative for human or machine perception. To achieve this purpose, an algorithm using spatial frequency (SF) measure discrete wavelet transform (DWT) proposed. In work, are decomposed low...

Most CNN-based super-resolution networks require a large number of samples for model training, which may cause overfitting when trained on specific set, and the internal self-similarity test image in this way has also been discarded. To resolve problem, paper proposes novel zero-shot learning (ZSL) network super resolution. In model, training are cropped from input image, means no extra dataset is required problem can be well avoided. Besides, since all itself, nonlocal attributes fully...

The equivalent circuit method is used to simulate the lunar semidiurnal geomagnetic tides. Samples of observations tide are also presented, derived from analyses hourly values horizontal component magnetic field recorded at several observatories. These compared results simulations different seasons. winds in simulation Global Scale Wave Model (GSWM) and those determined by Forbes Gillette [1982] . calculations only carried out for a age zero (new moon), but this still enables comparison be...

Single image reflection removal is of great practical importance for various computer vision tasks. Most non-learning methods try to solve this problem through the model-optimization scheme, which fails produce promising results due shortage suitable priors model difference between layer and transmission layer. This paper presents an improved generative adversarial network resolve problem. First, we suggest that not only a channel-wise separation problem, but also spatial variational...

There are a variety of industrial products that possess periodic textures or surfaces, such as carbon fiber textiles and display panels. Traditional image-based quality inspection methods for these require identifying the patterns from normal images (without anomaly noise) subsequently detecting pixels with inconsistent appearances. However, it remains challenging to accurately extract pattern single image in presence unknown anomalies measurement noise. To deal this challenge, paper...

The authors present a mother's unusual application of play technique in Chinese at-home situation and their second look at the material after its discussion child consultation group. mother, counsellor who worked with adults was attending basic psychology courses, had seen demonstrations therapy technique. Worried about her latency age son's development, eager to repair any harm she felt done him, this mother conducted series sessions spend meaningful time child, satisfy his longing for...

Satellite imagery always has low-resolution causing poor application in practice because the serious degradation imaging is resulted many factors such as atmospheric turbulence, cloud, and aberration of optical system. To reconstruct degraded remote sensing images with a high quality, we designed an algorithm to estimate system modulation transfer function (MTF) accurately. Phase congruency employed detect edges corners image first, then significant edges, which are utilized edge spread...

On the basis of analysis difficulties in meteorological measurement, this paper proposes a three resistance measurement method based on self-correcting technique, through comparing relative size groups measuring signal for desired value. The advantage is to counteract effects drift circuit, which can achieve high precision results bad external environment. This gives comparison measured data. has been verified practical application.