Results 61 to 70 of about 2,221 (193)
Learning to Optimise FISTA‐PnP for Sparse Radar Imaging
This work presents a plug‐and‐play (PnP) framework for sparse radar imaging that combines FISTA with reinforcement learning (RL)‐based parameter adaptation, achieving faster convergence and eliminating manual parameter tuning. Extensive experiments show the framework outperforms classical methods and recent optimisation networks, providing high‐quality
Yao Zhao +7 more
wiley +1 more source
Hyperspectral Imaging: The Intelligent Eye to Uncover the Password of Plant Science
Hyperspectral imaging (HSI) has emerged as a powerful non‐destructive technique for characterisation of the plant phenotype and physiological traits. The ongoing development of cost‐effective hardware, coupled with standardised acquisition protocols and open‐access spectral libraries, is accelerating its integration with multi‐omics approaches to ...
Jingyan Song +17 more
wiley +1 more source
Convolutional variational autoencoders for secure lossy image compression in remote sensing [PDF]
The volume of remote sensing data is experiencing rapid growth, primarily due to the plethora of space and air platforms equipped with an array of sensors.
Gadsden SA +3 more
core +3 more sources
Rethinking Global Soil Degradation: Drivers, Impacts, and Solutions
Abstract The increasing threat of soil degradation presents significant challenges to soil health, especially within agroecosystems that are vital for food security, climate regulation, and economic stability. This growing concern arises from intricate interactions between land use practices and climatic conditions, which, if not addressed, could ...
Nima Shokri +29 more
wiley +1 more source
GF-3 Polarimetric Data Quality Assessment Based on Automatic Extraction of Distributed Targets
With the needs of continuous data quality assessment for massive Gaofen-3 (GF-3) polarimetric data, an automatic and efficient quality evaluation method is urgently needed.
Songtao Shangguan +4 more
doaj +1 more source
Abstract Rapid estimation of high‐resolution (∼km), regional‐scale (∼104 km2) CH4 fluxes plays a critical role in supporting the Global Methane Pledge and guiding targeted mitigation strategies. This study presents a novel method that combines XCH4 observations from MethaneSAT and Sentinel‐5P to directly estimate CH4 fluxes without relying on chemical ...
Yiyang Huang +9 more
wiley +1 more source
Object-Level Semantic Segmentation on the High-Resolution Gaofen-3 FUSAR-Map Dataset
Land cover classification with SAR images mainly focuses on the utilization of fully polarimetric SAR (PolSAR) images. The conventional task of PolSAR classification is single-pixel-based region-level classification using polarimetric target ...
Xianzheng Shi +4 more
doaj +1 more source
Abstract The escalating frequency and magnitude of floods pose significant challenges to traditional flood control measures with fixed defense capacities, such as levees, dams, and reservoirs. Flood Detention Areas (FDAs) have been widely implemented in many countries as solutions to extreme flood events, functioning by temporarily holding excess ...
Yiling Lin +9 more
wiley +1 more source
Asymmetry of Cyclonic Sea Surface Wind and Wave Observed by SAR
Abstract CyclObs‐derived wind and SWH field are extracted from over 600 dual‐polarized Sentinel‐1 (S‐1) images of around 300 tropical cyclones (TCs) over the past eight years to investigate asymmetry of wind and wave fields during TCs. Fetch analysis and machine learning technique, eXtreme Gradient Boosting (XGBoost), is used to establish a ...
Weizeng Shao +4 more
wiley +1 more source
The Gaofen-3 (GF-3) data processor was developed as a workstation-based GF-3 synthetic aperture radar (SAR) data processing system. The processor consists of two vital subsystems of the GF-3 ground segment, which are referred to as data ingesting ...
Bing Han +6 more
doaj +1 more source

