Tailings ponds’ failure and environmental pollution make tailings monitoring very important. Remote sensing technology can quickly widely obtain ground information has become one of the important means monitoring. However, efficiency accuracy traditional remote have difficulty meeting management needs. At same time, affected by factors such as geographical environment imaging conditions, various manifestations in images, which all bring challenges to accurate acquisition large areas. By...

The identification of urban functional zones (UFZs) is crucial for planning and optimizing industrial layout. Fusing remote sensing images social perception data an effective way to identify UFZs. Previous studies on UFZs recognition often ignored band information outside the red–green–blue (RGB), especially three-dimensional (3D) morphology information. In addition, probabilistic methods ignore potential semantic Point Interest (POI) data. Therefore, we propose “Image + Text” multimodal...

Long noncoding RNAs (lncRNAs) have been wildly demonstrated to participate in the osteosarcoma tumorigenesis. ZFAS1 is a novel identified lncRNA, however, its role still unclear. In present study, we utilize lncRNA microarray assay screen expression profile tissue, and investigate regulatory function of osteosarcoma. LncRNA revealed that was significantly up-regulated 3 pairs adjacent non-tumor which confirmed by RT-PCR. Furthermore, 53 patient samples, closely related poor prognosis. vitro,...

Objective Maisonneuve fracture is a special type of injury which are rare in clinic. The manifestation such fractures variable. aim this study to describe the pathoanatomical features typical on basis radiographs, computed tomography (CT) scans, magnetic resonance imaging (MRI), and intraoperative exploration findings, investigate mechanism variety. Methods data 41 patients with from April 2014 September 2019 were retrospectively analyzed. There 32 males nine females, average age was 37.9...

Urbanization is typically accompanied by the relocation and reconstruction of industrial areas due to limited space environmental requirements, particularly in case a capital city. Shougang Group, one largest steel mill operators China, was relocated from Beijing Hebei Province. To study thermal changes at site before after relocation, four Landsat images (from 2000, 2005, 2010 2016) were used calculate land surface temperature (LST). Using urban heat island ratio index (URI), we compared...

Automatically extracting urban buildings from remote sensing images has essential application value, such as planning and management. Gaofen-7 (GF-7) provides multi-perspective multispectral satellite images, which can obtain three-dimensional spatial information. Previous studies on building extraction often ignored information outside the red–green–blue (RGB) bands. To utilize multi-dimensional of GF-7, we propose a dual-stream multi-scale network (DMU-Net) for extraction. DMU-Net is based...

Soil moisture (SM) estimates are important to research, but not accurately predictable in areas with tall vegetation. Full-polarization Radarsat-2 C-band data were used retrieve SM contents using typical polarization decomposition (Freeman–Durden, Yamaguchi and VanZly) at different growth stages of maize. Applicability analyses conducted, including proportion, regression surface scattering model analyses. Furthermore, the Bragg, extended Bragg (X-Bragg) improved models (ISSM) content. The...

Objective To identify the optimal ratio of free femur for minimizing risks periprosthetic fracture. Methods Three dimensional models with hip and knee stem elongation were constructed. With distal femoral condylar surface fixed in a three model, head loading was performed according to methods described by Huiskes van Rietbergen replacement, replacement or without elongation. The maximum principal stress (MPS) elastic strain (MPES) recorded their relationships analyzed using Pearson's...

This paper proposes a framework that combines the improved "You Only Look Once" version 5 (YOLOv5) and SegFormer to extract tailings ponds from multi-source data. Points of interest (POIs) are crawled capture potential pond regions. Jeffries–Matusita distance is used evaluate optimal band combination. The YOLOv5 replaces backbone with PoolFormer form backbone. neck introduces CARAFE operator feature pyramid network (CRF-FPN). head substituted an efficiency decoupled head. POIs classification...

Abstract Due to the complex mechanism of ankle injury, clinical diagnosis fracture is extremely difficult. In order simplify process, this study proposes an automatic model fractures. Firstly, classification method suitable for machine learning was developed. By dividing six regions, multiple types fractures were clarified, and a corresponding dataset created accordingly. Secondly, random forest used preprocess X‐ray images segment foreground part images. Finally, bag visual words (BoVW)...

As an important part of the city, urban green space (UGS) plays essential role in enhancing human well-being by virtue multiple environmental, social and economic benefits. Study on landscape pattern UGS is a focal point hotspot ecology. The latest studies demonstrated that metrics provides effective method quantifying pattern. However, study scale effect should be strengthened. objective related research to determine appropriate measurement evaluation find underlying mechanisms use selected...

For more surface features can be obtained from the satellite image, it will do benefit to application of intensive land use and meet requirement building extraction with higher accuracy details. Considering different scale type buildings in images, we proposed a new method extract optical for example Chinese GF-2 satellite, using Non Subsampled Contourlet Transform (NSCT) Pulse Coupled Neural Network (PCNN). The not only uses spectral, shape texture high resolution images analyze edge...

Built-up areas extraction from satellite images is an important aspect of urban planning and land use; however, this remains a challenging task when using optical images. Existing methods may be limited because the complex background. In paper, improved boosting learning saliency method for built-up area Sentinel-2 proposed. First, optimal band combination extracting such data determined; then, coarse map generated, based on multiple cues geodesic weighted Bayesian (GWB) model, that provides...

The object of this paper is to study the impervious surface extraction method using remote sensing imagery and monitor spatiotemporal changing patterns mega cities. Megacity Bombay was selected as interesting area. Firstly, pixel-based object-oriented support vector machine (SVM) classification methods were used acquire land use/land cover (LULC) products in 2010. Consequently, overall accuracy (OA) Kappa (OK) 94.97% 0.96 with a running time 78 minutes, OA OK 93.72% 0.94 only 17s....

BACKGROUND: Anatomical cup implantation is a promising approach in primary total hip arthroplasty (THA) and improves functional outcomes. OBJECTIVE: We aimed to evaluate the position outcomes THA with preoperative dynamic 3D planning. METHODS: retrospectively reviewed 54 hips 48 patients who underwent anatomical (mean follow-up time: 52 months). Cup positions were evaluated based on patient-specific morphology, acetabular fossa combined anteversion test. Functional assessed after THA. The...

The WorldView-2 high spatial resolution satellite with eight multispectral imaging bands is ideally suited for extracting built-up areas (BUs) from remote sensing images. In this study, an object-based automatic multi-index BUs extraction method was developed. First, several indices, including index (NBEIr-c), vegetation index(NDVInir2-r) and water (NDWI b-nir1), were developed to obtain the BUs, maps, then fractional-order Darwinian particle swarm optimization (FODPSO) algorithm employed...