Spatial-temporal-spectral fusion (STSF) of remote sensing imagery can produce data with the highest spatial and spectral resolution, only as well fine temporal by integrating images complementary information in both domains. Accuracy variation is an important guarantee for achieving fidelity STSF. However, current STSF methods estimate utilizing between observed multispectral image (MSI) relationship MSI hyperspectral (HSI), which difficult to obtain accurate variation. To address this...

Inspired by Google's BigTable, a variety of scalable, semi-structured, weak-semantic table stores have been developed and optimized for different priorities such as query speed, ingest availability, interactivity. As these systems mature, performance benchmarking will advance from measuring the rate simple workloads to understanding debugging advanced features speed-up techniques function shipping filters client servers. This paper describes YCSB++, set extensions Yahoo! Cloud Serving...

The growing size of modern storage systems is expected to exceed billions objects, making metadata scalability critical overall performance. Many existing distributed file only focus on providing highly parallel fast access data, and lack a scalable service. In this paper, we introduce middleware design called Index FS that adds support such as PVFS, Lustre, HDFS for high-performance operations small files. uses table-based architecture incrementally partitions the namespace per-directory...

Polypyrrole/alginate–gelatin conductive hydrogels serve as a repairable circuit and mechanical sensor.

Spontaneous imbibition of water-based fracturing fluids into the shale matrix is considered to be main mechanism responsible for high volume water loss during flowback period. Understanding capacity and rate helps determine fluid volume, optimize design, analyze influences on production gas. Imbibition experiments were conducted samples from Sichuan Basin, some tight sandstone Ordos Basin. Tight volcanic Songliao Basin also investigated comparison. The effects porosity, clay minerals,...

Modern key-value stores often use write-optimized indexes and compact in-memory to speed up read write performance. One popular index is the Log-structured merge-tree (LSM-tree) which provides indexed access write-intensive data. It has been increasingly used as a storage backbone for many services, including file system metadata management, graph processing engines, machine learning feature engines. Existing LSM-tree implementations exhibit high amplifications caused by compaction, lack...

The nonoverlapped spectrum range between low spatial resolution (LR) hyperspectral (HS) and high (HR) multispectral (MS) images has been a fundamental but challenging problem for MS/HS fusion. of HS data is generally 400–2500 nm, the MS 400–900 nm; how to obtain high-fidelity HR fused image within whole nm? In this article, we proposed band divide-and-conquer framework (BDCF) solve problem, by comprehensively considering spectral fidelity, enhancement, computational efficiency. First, bands...

Fusing low spatial resolution (LR) hyperspectral (HS) data and high (HR) multispectral (MS) aims to obtain HR HS data. However, due bad weather the aging of sensor equipment, images usually contain a lot noise, e.g., Gaussian strip mixed which would make fused image have quality. To solve this problem, we propose multiscale low-rank deep back projection fusion network (MLR-DBPFN). First, MS are superimposed, spectral features stacked extracted through decomposition convolution operation,...

Coastal wetlands mapping is a big challenge in remote sensing fields because of similar spectrum different ground objects and their severe fragmentation spatial heterogeneity. In this paper, we propose Hyperspectral Image Transformer iN (HSI-TNT) method for coastal on ZY1-02D hyperspectral images, which uses two transformer deep networks to fuse local global features. First, put forward the idea that each pixel can be considered as superpixel spectral dimension, subsequent position encodings...

Image fusion effectively solves the trade-off between spatial resolution, temporal and spectral resolution of remote sensing sensors. However, most existing methods focus on two spatial, temporal, metrics images. The few spatial-temporal-spectral (STSF) available are mainly for fusing MODIS Landsat images, which not suitable characteristics spaceborne hyperspectral images with low such as Hyperion, ZY-1 02D, PRISMA. For this purpose, we proposed a novel generalized linear mixing model...

Monitoring and assessing wetland diversity is crucial for its accurate preservation. Hyperspectral satellites have been proven effective detailed investigations of plant in many places. However, it's unclear whether spectral invert landscape diversity, the inversion accuracy varies with spatial scale. In this study, ZY1-02D hyperspectral remote sensing images Yellow River Estuary were supervised classified by support vector machine. Then, indices (i.e., community richness, Shannon-Wiener...

We analyze Hadoop workloads from three di?erent research clusters a user-centric perspective. The goal is to better understand data scientists' use of the system and how well matches its design. Our analysis suggests that usage still in adolescence. see underuse features, extensions, tools. significant diversity resource application styles, including some interactive iterative workloads, motivating new tools ecosystem. also observe opportunities for optimizations these workloads. find job...

This article proposes a dual global–local attention network (DGLAnet), which is an end-to-end unsupervised band selection (UBS) method that fully utilizes spatial and spectral information in both global local aspects. The DGLAnet assumes BS can be realized using the hyperspectral image (HSI) reconstruction process. First, implements module to obtain spatial–spectral features reweight HSI data. It adopts bi-directional relations grasp from perspective. Meanwhile, extracts through max-pooling...

Hydrogel composites with pre-programmed shapes serve as environmental monitoring alarms and underwater actuators.

High performance computing fault tolerance depends on scalable parallel file system performance. For more than a decade bandwidth has been available from the object storage systems that underlie modern systems, and recently we have seen demonstrations of metadata using dynamic partitioning namespace over multiple servers. But even these require significant numbers dedicated servers, some workloads still experience bottlenecks. We envision exascale do not any server machines. Instead job...

The China GaoFen-5 (GF-5) satellite sensor, which was launched in 2018, collects hyperspectral data with 330 spectral bands, a 30 m spatial resolution, and 60 km swath width. Its competitive advantages compared to other on-orbit or planned sensors are its number of Unfortunately, applications may be undermined by relatively low resolution. Therefore, the fusion GF-5 high resolution multispectral is required further enhance while preserving fidelity. This paper conducted comprehensive...

The maintenance of spectral variability between subclass objects and the relationship hyperspectral (HS) bands have been a fundamental but challenging problem for fusing low spatial resolution (LR) HS high (HR) multispectral (MS) images. This article presents locally optimized image segmentation fusion (LOISF) framework super-resolution reconstruction. First, LR HR MS are clustered segmented, label attributes segmented identified by prior information. Then, novel joint model different...

Gait recognition is a biometric technology that distinguishes individuals by analyzing their walking patterns and holds significant potential for development. Current methods primarily focus on extracting gait features either from the overall appearance or specific local regions. However, they often overlook partitioning of regions based individual's body structure, as well weighted relationships between global features. We propose Weighted Global-Local Feature Fusion Module to partition...

Abstract Gel thermocells (GTCs) provide a safe, facile, and scalable solution for harvesting waste heat to power ubiquitous electronics. However, achieving harmonious integration of high density, wide‐temperature‐range stability, mechanical robustness in GTCs remains significant challenge. In this work, novel ternary gel thermocell (TGTC) is proposed fabricated by integrating ferro/ferricyanide (Fe(CN) 6 3−/4− ) redox couples, thermosensitive crystallizing agents guanidinium chloride...

Accurately mapping large-scale areas of aquaculture ponds along China's coastal is challenging. This study proposes a multi-featured decision tree method that incorporates multi-spectral indices, water inundation frequency (WIF), and object-oriented rules to extract in zones using 65332 Sentinel-2 images on the GEE platform. The proposed was validated, with average overall accuracy extraction results from 2017 2021 reaching 90.80%, an F1 Score 0.91. this indicate area coast 7633.83 km2,...