Remote Sensing
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Fachgebiete / Stichwörter: microwave remote sensing; Science
Idioma English
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Remote sensing based assessment of urban microclimate extremes for advancing sustainable urban planning
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Urban microclimate are localized climatic conditions within urban areas that are shaped by the buildings, population density, land cover, and vegetation, and that differ significantly from surrounding rural contexts. The...
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Open AccessRemote sensing of phytoplankton blooms in the Continental Shelf and shelf-break of Argentina: spatio-temporal changes and phenology
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We studied the spatio-temporal variations of satellite chlorophyll-a (chl-a) and phytoplankton blooms in the continental shelf and shelf-break of the Argentinean patagonic region by means of an 11-years time series of le...
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Open AccessRemote Sensing Detection of Mixed Algal Blooms in a Shallow Eutrophic Lake Using Landsat-9 OLI
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Monitoring algal blooms in shallow eutrophic lakes remains challenging due to subtle biomass signals and interference from bottom reflectance and high suspended sediment loads. Utah Lake, a large eutrophic and highly tur...
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Open AccessFifth recent advances in quantitative remote sensing
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Fachgebiete / Stichwörter: Ciencia; General
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InstitucionalA Multimodal Remote Sensing Image Registration Framework With Dual-Stream Multiscale Attention and Adaptive Deformation Refinement
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Multimodal remote sensing image registration is a fundamental step for multisource data fusion and geospatial analysis. However, nonlinear radiometric, textural, and geometric discrepancies across modalities challenge in...
LCC LCC:Ocean engineering; LCC:Geophysics. Cosmic physicsIdioma Inglés
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Open AccessAn Explainable Multimodal Vision–Language Framework With Adaptive Mixture of Experts and Optimized Learning for Remote Sensing Image Captioning and Visual Question Answering
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The provision of accurate and explainable captions and answers to visual questions about remote sensing images is essential in areas such as disaster management, land-use supervision, and military analysis, where system ...
LCC LCC:Electrical engineering. Electronics. Nuclear engineeringIdioma Inglés
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Open AccessAssessing long-term urban ecological quality using the remote sensing ecological index: A case study of the Klang River Basin, Malaysia
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Many developing countries have experienced rapid industrial and urban expansion over the last two decades, raising concerns about ecological degradation. However, quantitative assessments linking urbanization and ecologi...
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Open AccessCausal Distillation Prompt for Few-Shot Object Detection in Remote Sensing Images
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Few-shot object detection (FSOD) recently garnered increasing attention in remote sensing images (RSIs). Although FSOD has achieved success in natural sense, the large size and complex backgrounds of RSIs make FSOD espec...
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Open AccessDAMF-DETR:A Dual-Path Attention and Multi-Scale Frequency-Domain Awareness for Small Object Detection in Remote Sensing Images
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With the rapid advancement of remote sensing technology, target detection in remote sensing imagery plays a crucial role in military reconnaissance, urban planning, and other fields. However, there are problems such as l...
LCC LCC:Ocean engineering; LCC:Geophysics. Cosmic physicsIdioma Inglés
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Open AccessDBAF-Net: Dual Branch Alignment and Fusion Network for Remote Sensing Change Detection
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The field of remote sensing change detection (RSCD) has witnessed remarkable progress. Most existing RSCD methods currently follow the encoder-feature interaction-decoder architecture. However, these methods often treat ...
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Open AccessEnhancing Subsurface Thermal Structures Reconstruction via a Dual-Branch Framework Integrating Surface Remote Sensing and Model-Predicted Upper-Layer Fields
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Driven by satellite remote sensing observations, deep learning models provide a promising solution for the rapid estimation of subsurface thermohaline structures. By learning from large-scale paired surface–subsur...
LCC LCC:Ocean engineering; LCC:Geophysics. Cosmic physicsIdioma Inglés
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Open AccessEnvironmental coherence framework for multi-sensor remote sensing: water hyacinth assessment in Lake Tana
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Abstract Invasive water hyacinth threatens Lake Tana, Ethiopia—the source of the Blue Nile. This study presents the first comprehensive 11-year (2013–2024) remote sensing assessment of the water hyacinth invasion dyn...
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Open AccessImage Fusion by Shift Invariant Discrete Wavelet Transform for Remote Sensing Applications
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The fusion technique of the spectral bands captured by the sensors carried onboard satellites is one digital processing method for extracting information and detecting ground targets. Image fusion - also known as pan-sha...
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Open AccessMFCSD: A Cloud Detection Network Based on New Gaofen Satellite Optical Remote Sensing Dataset
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With advances in aerospace technology, high-resolution optical imagery from satellites, such as China’s Gaofen series, is vital for climate monitoring and agriculture. However, cloud cover significantly impedes th...
LCC LCC:Ocean engineering; LCC:Geophysics. Cosmic physicsIdioma Inglés
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Open AccessMSFFNet: Multiscale Feature Fusion Network for Small Target Detection in Remote Sensing Images
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ABSTRACT With the advancement of satellite remote sensing technology, object detection based on high‐resolution remote sensing imagery has emerged as a prominent research focus in the field of computer vision. Although...
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Open AccessMapping urban land use change and environmental trade-offs: a remote sensing–SWOT assessment for land policy and regulatory frameworks
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Context and background
Rapid urbanisation in African cities is reshaping urban land systems, creating complex environmental trade-offs with direct implications for land policy and spatial regulation. In Windhoek and...
LCC LCC:Mathematical geography. Cartography; LCC:Land useIdioma Inglés
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Open AccessMonitoring vegetation using remote sensing time series data: a review of the period 1996-2017
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Analyzing time series data with remote sensing provides a better understanding of vegetation dynamics, since previous conditions and changes that have occurred over a given period are known. The objective of this paper w...
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Open AccessOcean Remote Sensing Image Quality Assessment via Quad-Domain Feature Decomposition
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Degradation of images in ocean remote sensing is primarily due to light scattering, chromatic aberration, and stochastic noise. As a result, the quality of the image content has been significantly compromised. Most ocean...
LCC LCC:Ocean engineering; LCC:Geophysics. Cosmic physicsIdioma Inglés
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Open AccessOptimal classification of remote sensing data using directed and non-directed instruction of neural networks
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Abstract The study of multi classification of data has become one of the important issues which geographical studies focus on especially those which take their data from satellites. Two ways of classification has been ta...
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Open AccessPGDFE-Net: Patch-Guided Discriminative Feature Enhancement Network for Fine-Grained Remote Sensing Ship Detection
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Fine-grained remote sensing ship detection plays an important role in maritime traffic management and the security guarantee system. Despite considerable research advances have been achieved via elaborately designed deep...
LCC LCC:Ocean engineering; LCC:Geophysics. Cosmic physicsIdioma Inglés
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Open AccessReservoir Storage Retrieval From Multi-Source Satellite Remote Sensing and Artificial Intelligence: A Comprehensive Review
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Reservoirs are critical infrastructure for global water, food, and energy security, yet their storage dynamics remain poorly characterized across most of the world. Accurate and timely knowledge of reservoir storage is e...
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Open AccessSGCT-Net: SAM-Guided Cross-Teaching Network for Weakly Supervised Semantic Segmentation for Generating High-Quality CAMs in High-Resolution Remote Sensing Imagery
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Weakly supervised semantic segmentation (WSSS), particularly using image-level labels, has emerged as a pivotal solution to alleviate the burden of costly and labor-intensive pixel-level annotations typically required fo...
LCC LCC:Ocean engineering; LCC:Geophysics. Cosmic physicsIdioma Inglés
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Open AccessSeleção de áreas de interesse ecológico através de sensoriamento remoto e de otimização matemática: um estudo de caso no município de Cocalinho, MT Selection of areas of ecological importance through remote sensing and mathematics optimization: a case study in the municipality of Cocalinho, Mato Grosso
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A criação de unidades de conservação tem sido a principal estratégia para preservar a biodiversidade. O recente emprego de técnicas como o sensoriamento remoto e a otimização matemática, aliados a dados biológi...
LCC LCC:Science (General)Idioma Inglés
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