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Palsa mires of the Northern Hemisphere: environmental characteristics, degradation, and morpho-ecological state
Published 2025-05-01“…To achieve this, the thesis employs a multi-scale approach, integrating remote sensing data and statistical modelling across spatial scales ranging from circumpolar to local. …”
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163
Concept and Characteristic of Urban Landscape Layering, and Design Approach Towards Urban Regeneration
Published 2025-03-01“…From a layering perspective, landscape is a spatial entity with both synchronic and diachronic characteristics, covering broader spatial scales and temporal dimensions. …”
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164
WEDM: Wavelet-Enhanced Diffusion with Multi-Stage Frequency Learning for Underwater Image Enhancement
Published 2025-04-01“…Most existing methods focus on spatial-domain processing, often neglecting the frequency-domain characteristics that are crucial for effectively restoring textures and edges. …”
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165
Spatial patterns, factor identification, and ethnic differences: a study of traditional villages in the Yuan River Basin based on geographical detectors
Published 2025-07-01“…Through this study, we were able to quantify the influences of the natural environment, the economy, and culture on the distribution of traditional villages. In uncovering the spatial distribution patterns of traditional villages and the characteristics of ethnic agglomeration at the watershed scale, we have laid the foundation for the scientific research and protection of traditional villages in multi-ethnic areas of the YRB.…”
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166
A New Earth System Spatial Grid Extending the Great Circle Arc QTM: The Spherical Geodesic Degenerate Octree Grid
Published 2025-04-01“…The subdivision of SGDOG is simple and clear, and has multi-level characteristics. The experimental results demonstrate that the SGDOG has advantages of simple spatial relationships, convergent volume distortion, and real-time encoding and decoding. …”
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167
Generic Method for Social–Environmental System Boundary Delineation—An Amalgamation of Spatial Data Integration, Optimization, and User Control for Resource Management
Published 2024-12-01“…Despite its significance, existing SES delineation methods often rely on subjective judgment and struggle with the non-linear, multi-scale nature of SES data, leading to challenges in effective resource management and policymaking. …”
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168
Dynamic evolution and network structure characteristics of the wellbeing eco-efficiency of cities in the Yellow River Basin, China
Published 2025-04-01“…The inter-regional differences and hypervariable density are the main sources of spatial differences. Third, the YRB has broken the geographical location restrictions and formed a multi-threaded complex network form. …”
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169
Soil moisture estimation using multi linear regression with terraSAR-X data
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170
Dual-stream interactive mechanism with multi-modal hierarchical aggregation transformer for gait recognition
Published 2025-07-01“…The DSM component facilitates effective spatial feature interaction and enhancement through bidirectional computational exchange and adaptive scaling between feature streams, enabling comprehensive capture of long-range dependencies in feature maps and strengthening representational capacity of each modality. …”
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171
A Local Enhancement Method for Large-Scale Building Facade Depth Images using Densely Matched Point Clouds
Published 2022-01-01“…In recent years, laser scanning systems have been widely used to acquire multi-level three-dimensional spatial objects in real time. …”
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172
Adaptive Global Dense Nested Reasoning Network into Small Target Detection in Large-Scale Hyperspectral Remote Sensing Image
Published 2025-03-01“…This algorithm integrates spatial, spectral, and domain knowledge to enhance the detection accuracy of small and dim targets in large-scale environments and simultaneously enables reasoning about target categories. …”
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A spatial matrix factorization method to characterize ecological assemblages as a mixture of unobserved sources: An application to fish eDNA surveys
Published 2024-12-01“…These sources, in turn, represent taxonomic units sharing similar habitat properties or characteristics. The method aims to reduce the multi‐taxa composition structure into a low number of dimensions defined by these sources. …”
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175
Le vignoble d’Azay-le-Rideau (XVIIe-XXIe siècles). À la recherche de facteurs de dynamiques spatiales
Published 2017-04-01“…As part of the regional program, VitiTerroir, the ultimate goal is to multiply studies and integrate different factors analysed in a multi-agent model to simulate the dynamics of the regional vineyards at different temporal and spatial scales.…”
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176
Multi-source Data-driven Analysis of Deformation and Influencing Factors for Expansive Soil Canal Slopes
Published 2025-01-01“…This study integrates Small Baseline Subset InSAR (SBAS-InSAR) with traditional deformation monitoring techniques to acquire multi-scale deformation data, enabling analysis from broad areas to localized sections. …”
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177
Effectiveness Model of Coastal Forest in Pananjung Nature Reserve, Pangandaran as Tsunami Buffer
Published 2019-05-01Get full text
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178
Characteristics of Regional Hourly Extreme Precipitation With Different Durations Over the Northeast Plain, China During Summer
Published 2025-02-01“…This study investigates the spatial, diurnal, sub‐seasonal and long‐term trend characteristics of REPE over NPC in the summer of 2000–2020 based on the Multi‐satellite Retrievals precipitation data GPM‐IMERG. …”
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179
Computational Analysis Method for Multi-subject Behavior in Public Spaces Based on Targeted Computer Vision Tracking
Published 2025-05-01“…Correlation analyses and interpretations of these metrics reveal the interaction patterns between children and parents and their relationship with the spatial morphological layout.ResultsThe computational analysis method for multi-subject behavior enables long-term, large-scale behavioral data collection and analysis for different crowd categories. …”
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180
MVT-Net: A novel cervical tumour segmentation using multi-view feature transfer learning.
Published 2025-01-01“…A transfer learning strategy is employed to extract diverse tumour-related information from multiple perspectives. In addition, a multi-scale residual blocks and a multi-scale residual attention blocks are embedded in the 3D network to effectively capture feature correlations across channels and spatial positions. …”
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