Monitoring and predicting the regional groundwater storage (GWS) fluctuation is an essential support for effectively managing water resources. Therefore, taking Shandong Province as example, data from Gravity Recovery Climate Experiment (GRACE) GRACE Follow-On (GRACE-FO) used to invert GWS January 2003 December 2022 together with Watergap Global Hydrological Model (WGHM), in-situ volume level data. The spatio-temporal characteristics are decomposed using Independent Components Analysis...

Non-collagenous proteins (NCPs) inhibit hydroxyapatite (HA; Ca(5)(PO(4))(3)OH) formation in living organisms by binding to nascent nuclei of HA and preventing their further growth. Polar charged amino acids (AAs) are highly expressed NCPs, the negatively ones, such as glutamic acid (Glu) phosphoserine (P-Ser) seem be mainly responsible for inhibitory effect NCPs. Despite recognized importance these AAs on behaviour specific crystallization is still unclear, controversial results have been...

Aiming to address the issue that existing multi-view stereo reconstruction methods have insufficient adaptability repetitive and weak textures in images, this paper proposes a three-dimensional (3D) algorithm based on Feature Enhancement Weight Optimization MVSNet (Abbreviated as FEWO-MVSNet). To obtain accurate detailed global local features, we first develop an adaptive feature enhancement approach multi-scale information from images. Second, introduce attention mechanism spatial capture...

Strong geometric and radiometric distortions often exist in optical wide-baseline stereo images, some local regions can include surface discontinuities occlusions. Digital photogrammetry computer vision researchers have focused on automatic matching for such images. Deep convolutional neural networks, which express high-level features their correlation, received increasing attention the task of image matching, learning-based methods potential to surpass based handcrafted features. Therefore,...

Many indoor fingerprinting localization methods are based on signal-domain distances with large error and low stability. An improved method using a clustering algorithm dynamic compensation was proposed. In the offline stage, fingerprint database built clustered hybrid distance an affinity propagation algorithm. Furthermore, clusters were adjusted transition regions given radius, as well updating corresponding position of cluster centroid. online lost received signal strength (RSS) in...

Accurate prediction of regional terrestrial water storage change (TWSA) is great significance for resources planning and management, early warning extreme climate disasters. Aiming at the problem that conventional methods on TWSA time series are difficult to be accurate, six typical regions selected in China as examples, including upper reaches Yangtze River (UYR), southwest region (SWR), Liaohe Basin (LRB), North Plain (NCP), Qinghai-Tibet Plateau (QTP), Pearl (PRB). The mascon product from...

Generalized likelihood ratio test (GLRT) was widely used in the change detection of synthetic aperture radar (SAR) images and employed as a competitive method many studies. GLRT is applied to neighborhood areas corresponding same geographical area multitemporal SAR images. Generally, difference image acquired by applying on moving window empirically determined user, which clearly unreasonable because different pixels an may have optimal windows. To overcome this drawback, we propose adaptive...

The available stereo matching algorithms produce large number of false positive matches or only a few true-positives across oblique images with baseline. This undesired result happens due to the complex perspective deformation and radiometric distortion images. To address this problem, we propose novel affine invariant feature algorithm subpixel accuracy based on an end-to-end convolutional neural network (CNN). In our method, adopt modify Hessian network, which refer as IHesAffNet, obtain...

A novel two-way ranging approach was introduced into the Wireless Fidelity (WiFi) standard, and its accuracy reached one meter in a low multipath environment. However, harsh environments due to or non-line of sight (NLOS), range measurement based on WiFi round trip time (RTT) usually has cannot maintain one-meter accuracy. Thus, this paper proposes an indoor positioning method Gaussian process regression (GPR) for environments. There are two stages proposed method: construction model...

Lake area, water level, and storage changes of terminal lakes are vital for regional resource management understanding local hydrological processes. Nevertheless, due to the complex geographical conditions, it is difficult investigate analyze this change in ungauged regions. This study focuses on ungauged, semi-arid Gahai Lake, a typical small lake Qaidam Basin. In addition scant observed data, satellite altimetry scarce excessively large fraction outlier points. Here, we proposed an...

Corner feature matching remains a difficult task for wide-baseline images because of viewpoint distortion, surface discontinuities, and partial occlusions. In this paper, we propose robust Harris corner method based on the quasi-homography transform (QHT) self-adaptive window. Our is divided into three steps. First, high-quality corners were extracted from stereo using optimal detecting, initial matches simultaneously acquired by integrating complementary affine-invariant features...

It is well-known that structures composed of super high-rise buildings accumulate damages gradually due to ultra-long loads, material aging, and component defects. Thus, the bearing capacity can be significantly decreased. In addition, these effects may cause inestimable life property losses upon strong winds, earthquakes, other heavy loads. Hence, it necessary develop real-time health monitoring methods for deeply understand running state during operation, timely discover potential safety...

A novel mobile position location procedure, based on the relaying capability of stations in a hybrid cellular/peer-to-peer ad hoc network to improve positioning coverage and accuracy, is proposed. The proposed scheme hierarchical-structured flooding making use achieve diversity. Simulation results show that offers improvement accuracy compared conventional methods reported literature. With increase mobiles system, system does not change. However, discovery mechanism monotonically increases...

The neighborhood-based method was proposed and widely used in the change detection of synthetic aperture radar (SAR) images because neighborhood information SAR is effective to reduce negative effect speckle noise. Nevertheless, for method, it unreasonable use a fixed window size entire image optimal different pixels an different. Hence, if you let large significantly suppress noise, cannot preserve detail such as edge changed area. To overcome this drawback, we propose spatial-temporal...

This paper proposes a quasi-dense feature matching algorithm that combines image semantic segmentation and local enhancement networks to address the problem of poor features because complex distortions, considerable occlusions, lack texture on large oblique stereo images. First, small amount typical scene data are used train VGG16-UNet, followed by completing multiplanar scenes across Subsequently, prediction results subjected adaptive optimization obtain high-precision for each planar...

Compared with the synthetic aperture radar (SAR) image processing theory based on local neighborhood, nonlocal is not limited to a neighborhood of an and has great potential in change detection SAR images. In this study, approach using ratio-based information (RNLI) proposed for multitemporal First, RNLI extracted from spatial–temporal where similarity two pixels well characterized by Gaussian kernel function. The parameters RNLI: noise level matching window size are adaptively determined...