Suffering from speckle noise and complex scattering phenomena, classification results of SAR images are usually noisy shattered, which makes them difficult to use in practical applications. Deep-learning-based semantic segmentation realizes categorization at the same time, thus can obtain smooth fine-grained maps. However, this kind methods require large data sets with pixel-wise categorical annotations, time consuming tedious retrieve. Compared photographs optical remote sensing images,...

The Yellow River Delta (YRD), known for its vast and diverse wetland ecosystem, is the largest estuarine delta in China. However, human activities climate change have significantly degraded ecosystem recent decades YRD. Therefore, an understanding of land use modifications essential efficient management preservation ecosystems this region. This study utilized time series remote sensing data extreme gradient boosting method to generate maps YRD from 2000 2020. Several methods, including...

Abstract A methodology is described for the direct assimilation of TOVS (TIROS‐N (Television Infra‐Red Observation Satellite) Operational Vertical Sounder) radiance data that have not undergone pre‐processing (such as limb adjustment and cloud clearing) usually applied to make radiances suitable use in linear retrieval algorithms. Inherent nonlinearities observations can be treated successfully within a variations analysis scheme such Spectral Statistical Interpolation (SSI) thus making...

This paper compares seasonal and spatial variations of Moderate Resolution Imaging Spectroradiometer (MODIS) albedos with those from the Common Land Model (CLM) by land cover type. MODIS albedo data in year 2001 were used to determine seasonal, spatial, dependence at 1 km resolution investigate biases CLM. Albedo on vegetation type is smaller than that snow soil. Snow causes largest temporal variations, especially visible band (0.3–0.7 μm). CLM has are lower up 0.4–0.5 winter over northern...

This paper compares by land cover type seasonal and spatial variations of MODIS leaf area index (LAI) fraction photosynthetically active radiation (0.4–0.7 μm) absorbed vegetation (FPAR) from 2.5 years with those the Common Land Model (CLM) investigates possible reasons for notable differences. The FPAR value is mainly determined LAI in both stem (SAI) CLM. On average, model underestimates Southern Hemisphere overestimates over most areas Northern compared to observations during all seasons...

This paper proposes a new approach called DREX (Developer Recommendation with k-nearest-neighbor search and Expertise ranking) to developer recommendation for bug resolution based on K-Nearest-Neighbor similarity expertise ranking various metrics, including simple frequency social network metrics. We collect Mozilla Fire fox open repository as the experimental data set compare different metrics performance of recommending capable developers bugs. Our results demonstrate that, when 10 each...

The spatial distribution of forest stands is one the fundamental properties forests. Timely and accurately obtained stand can help people better understand, manage, utilize development remote sensing technology has made it possible to map tree species in a timely accurate manner. At present, large amount data have been accumulated, including high-spatial-resolution images, time-series light detection ranging (LiDAR) data, etc. However, these not fully utilized. To identify stands, various...

How to jointly use spatial and polarimetric information in PolSAR analysis has long been an open question. Benefiting from advanced architectures large visual databases, deep convolutional neural networks or convnets (DCNNs) can generate high-level features achieve state-of-the-art performance image analyses. However, because data are not only multiband but also complex valued, these models cannot be easily borrowed process them. In light of this problem, we develop a new set explore the...

<title>Abstract</title> Background Mitochondrial transplantation is a promising cure for many diseases associated with mitochondrial defects or ageing; however, reliable method mitochondria transfer still in urgent need. Method In this study, we assembled fusogenic and magnet-responsive cells (FMRCs), which were enucleated stem loaded Fe₃O₄ nanoparticles further incorporated vesicular stomatitis virus glycoprotein G (VSV-G). Fusion was carried out the presence of...

Recommender systems are increasingly prevalent to provide personalized suggestions and enhance user satisfaction. Typical recommendation models encode users items as embeddings, generate recommendations by assessing the similarity between these embeddings. Despite their effectiveness, embedding-based struggle with modeling uncertainty capturing diverse interests using a single fixed embedding. Recent studies have begun explore user-distribution paradigm learn distributions for users....

Urban areas are the primary living environments of human beings, and a frequent focus in Earth observation based analyses. Chances for advancement this field especially exist detection man-made targets urban area using synthetic aperture radar (SAR) images. Especially stationarity is useful parameter SAR image information extraction that has begun to attract attention recent years. However, theory analytical methods processing domain still initial stage. In paper, six types imagery...

This paper proposed an innovative framework to almost automatically extract man-made target from a high-resolution (HR) polarimetric SAR (PolSAR) image of urban area. The core part this is new PolSAR feature extraction method, which developed by combining the spherically invariant random vector (SIRV) product model with time-frequency (TF) analysis technology. SIRV can better characterize HR images, and TF will assist classification taking advantages anisotropic property avoid confusion...

E-commerce sponsored search contributes an important part of revenue for the e-commerce company. In consideration effectiveness and efficiency, a large-scale system commonly adopts multi-stage architecture. We name these stages as ad retrieval, pre-ranking ranking. Ad retrieval are collectively referred to matching in this paper. propose end-to-end neural framework (EENMF) model two tasks---vector-based networks based pre-ranking. Under deep framework, vector-based harnesses user recent...

Drought is one of the most damaging environmental hazards and a naturally occurring phenomenon in Central Asia that accompanied by crucial consequences for agriculture sector. This research aimed at understanding nature extent drought over cropland regions with help spatiotemporal information from region. We assessed occurrence using vegetation health index (VHI). An algorithm was developed to reduce noise heterogeneous land surfaces adjusting brightness temperature. The condition (VCI)...

ABSTRACT Antarctica's response to climate change varies greatly both spatially and temporally. Surface melting impacts mass balance also lowers surface albedo. We use a 43-year record (from 1978 2020) of Antarctic snow melt seasons from space-borne microwave radiometers with machine-learning algorithm show that the onset end season are being delayed. Granger-causality analysis shows is delayed due increased heat flux ocean atmosphere at minimum sea-ice extent warming oceans. Melt...

The rapid development of synthetic aperture radar (SAR) sensors results in the acquisition substantial ultrahigh-resolution SAR images. In this paper, we, for first time, present three scenes single-polarization images with decimeter resolution obtained by a millimeter-wave (MMW) Chinese airborne system. An innovative framework based on complex generalized Gaussian distribution (CGGD) model is proposed to extract land use information from them, and CGGD parameters, including shape parameter,...

Synthetic aperture radar (SAR) tomography (TomoSAR) estimates scene reflectivity along elevation coordinates, based on multi-baseline measurements. Common TomoSAR approaches are every single range-azimuth cell or the cell’s neighborhood. By using an additional synthetic for elevation, these techniques have higher resolution power to discriminate scatterers with differences in location same cell. However, they cannot provide sufficient range by joining different spectra a wider spectrum,...

Abstract In recent decades, an amplification of warming in Arctic and high-elevation regions has been widely observed, along with a general enhancement vegetation growth. However, driven by variability controlling factors complex mechanisms, climate changes can be highly heterogeneous space time. this study, analysis is performed separating Tibetan Plateau (TP) vegetated areas into various units according to map terrestrial ecoregions. The most variations heat, moisture, growth (MODIS...

Numerous opportunities for advancement exist in the field of man-made target detection using synthetic aperture radar (SAR). With development SAR sensors, high spatial resolution violates validity zero-mean assumption, particularly urban applications. In 2012, we refined conventional azimuth stationarity extraction method by adopting a nonzero-mean model-the Rician distribution-to better adapt to high-resolution imagery areas and improved result significantly. However, model cannot make full...