A5064896033- Flood Risk Assessment and Management
- Advanced SAR Imaging Techniques
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Precipitation Measurement and Analysis
- Remote Sensing and Land Use
- Tropical and Extratropical Cyclones Research
- Remote-Sensing Image Classification
- Urban Heat Island Mitigation
- Land Use and Ecosystem Services
- Meteorological Phenomena and Simulations
- Advanced Algorithms and Applications
- Infrared Target Detection Methodologies
- Anomaly Detection Techniques and Applications
- Radar Systems and Signal Processing
- Atmospheric aerosols and clouds
- Oil Spill Detection and Mitigation
- Remote Sensing in Agriculture
- Image Processing Techniques and Applications
- Optical Systems and Laser Technology
- Advanced Computing and Algorithms
- Image and Video Stabilization
- Image Enhancement Techniques
- Environmental Changes in China
- Industrial Vision Systems and Defect Detection
- Microwave Imaging and Scattering Analysis
Argonne National Laboratory
2025
Wenzhou Medical University
2024
Luxembourg Institute of Science and Technology
2019-2024
China University of Geosciences (Beijing)
2024
Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)
2018-2023
China Academy of Space Technology
2016-2023
Dalian Polytechnic University
2023
Wuhan University
2021
Liaoning Technical University
2013-2020
Institute of Electronics
2012-2019
Synthetic Aperture Radar (SAR) observations are widely used in emergency response for flood mapping and monitoring. However, the current operational services mainly focused on rural areas flooded urban less considered. In practice, is challenging due to complicated backscattering mechanisms environments addition SAR intensity other information required. This paper introduces an unsupervised method detection by synergistically using interferometric coherence under Bayesian network fusion...
This paper presenting land use and cover changes in the Khyber Pakhtunkhwa city of Peshawar, Pakistan, this study is first to satellite remote sensing data examine 17 years Peshawar between 1999 2016. Particularly, it employed maximum likelihood classification algorithm classify Landsat 7 ETM+, 8, OLI collected from 2016 then detected area, measure urban sprawl by applying raster Boolean techniques extract Then compute two composite classified images A scatterplots histograms evaluating...
Due to the complexity of backscattering mechanisms in built-up areas, synthetic aperture radar (SAR)-based mapping floodwater urban areas remains challenging. Open affected by flooding have low backscatter due specular reflection calm water surfaces. Floodwater within leads double-bounce effects, which depends on configuration concerning facades surrounding buildings. Hence, it has been shown that analysis interferometric SAR coherence reduces underdetection floods urbanized areas. Moreover,...
Abstract Solar hydrogen from biomass gasification is a promising technology to sustainably produce hydrogen, responsibly dispose waste, and reduce reliance on fossil fuels. However, its large-scale deployment faces challenges due the geospatial misalignment between resources solar intensity, which introduces additional supply chain logistics costs. We analyze cost burden imposed by this impact successful of solar-driven in United States. also consider associated carbon emissions explore how...
Vulnerability analysis of urban drainage networks plays an important role in flood management. This study analyzes and compares the vulnerability tree loop systems under various rainfall events to structural failure represented by pipe blockage. Different blockage scenarios, which one pipes network is assumed be blocked individually, are constructed their impacts on simulated different storm events. Furthermore, a index defined measure before after implementation adaptation measures. The...
Accurately assessing the risk of flash floods is a fundamental prerequisite for defending against flood disasters. The existing methods are constrained by unclear key factors and challenges in elucidating disaster mechanisms, resulting less-than-ideal early warning effectiveness. This article based on official statistics data from 2017 to 2021. It selects eight categories driving influencing floods, such as rainfall, underlying surface conditions, human activities. Subsequently, geographical...
<p>The Global Flood Monitoring (GFM) system of the Copernicus Emergency Management Service (CEMS) addresses challenges and impacts that are caused by flooding. The GFM provides global, near-real time flood extent masks for each newly acquired Sentinel-1 Interferometric Wide Swath Synthetic Aperture Radar (SAR) image, as well information from whole archive 2015 on. is an ensemble product based on a combination three independently developed mapping algorithms individually derive data....
Monitoring oil drift by integrating multi-source satellite imagery has been a relatively underexplored practice due to the limited time-sampling of datasets. However, this limitation mitigated emergence new constellations equipped with both Synthetic Aperture Radar (SAR) and optical sensors. In manuscript, we take advantage multi-temporal imagery, incorporating SAR (Sentinel-1 ICEYE-X) data (Sentinel-2/3 Landsat-8/9), provide insights into spatio-temporal variations spills. We also analyze...
The Gaussian mixture model (GMM) plays an important role in image segmentation, but the difficulty of GMM for modeling asymmetric, heavy-tailed, or multimodal distributions pixel intensities significantly limits its application. One effective way to improve segmentation accuracy is accurately statistical intensities. In this study, innovative high-resolution remote sensing algorithm proposed based on a flexible hierarchical (HGMM). components are first defined by weighted sums elements,...
Land resources in cities are limited, and the cost of green space construction is high. Compared with increasing amount space, maximizing cooling effect limited has important theoretical practical significance. Green fractal a new innovative branch urban that uses index to quantify structural studying thermal environmental effect. Multi-source data, such as high-resolution remote sensing images, were used, spatial regression models inconsistency indices applied explore pattern environment at...
This paper presents a new segmentation-based algorithm for oil spill feature extraction from Synthetic Aperture Radar (SAR) intensity images. The proposed combines Voronoi tessellation, Bayesian inference and Markov Chain Monte Carlo (MCMC) scheme. shape distribution features of dark spots can be obtained by segmenting scene covering an and/or look-alikes into two homogenous regions: their marine surroundings. is applied simultaneously to several real SAR images simulated which are used...
The Global Flood Monitoring (GFM) system of the Copernicus Emergency Management Service (CEMS) addresses challenges and impacts that are caused by flooding. GFM provides global, near-real time flood extent masks for each newly acquired Sentinel-1 Interferometric Wide Swath Synthetic Aperture Radar (SAR) image, as well information from whole archive 2015 on. is an ensemble product based on a combination three independently developed mapping algorithms individually derive data. Each algorithm...
A remote sensing algorithm was developed to estimate the three-dimensional distribution of suspended sediment concentration in upper water layers. This used 'the gradient transition algorithm' realize atmospheric correction while deriving depth-weighted and penetration depth Z 90 . From them depth-averaged for every layer defined by depths all usable bands calculated. SeaWiFS data sea truth were test at Changjiang Estuary, Hangzhou Bay, adjacent East China Sea. can be study structures column...
Given the diverse socioecological consequences of rapid urban sprawl worldwide, delineation and monitoring boundaries have been widely used by local governments as a planning instrument for promoting sustainable development. This study demonstrates fractal method to delineate based on raster land use maps. The basic logic is that number built-up clusters their size at each dilation step follows power-law function. It assumed two spatial subsets with distinct characteristics would be obtained...
With the rapid development of cooperative detection technology, target fusion with regard LEO satellites can be realized by means their diverse observation configurations. However, existing constant false alarm ratio (CFAR) research rarely involves space-based theory. In this paper, a novel multi-source method based on is presented. Firstly, pre-compensation function constructed employing range and Doppler history cell where antenna beam center pointed. As result, not only band broadening...
<p>The Global Flood Monitoring (GFM) system of the Copernicus Emergency Management Service (CEMS) addresses challenges and impacts that are caused by flooding. The GFM provides global, near-real time flood extent masks for each newly acquired Sentinel-1 Interferometric Wide Swath Synthetic Aperture Radar (SAR) image, as well information from whole archive 2015 on. is an ensemble product based on a combination three independently developed mapping algorithms individually derive data....
Distributed radar systems promise to significantly enhance target localization by virtue of the superiority multi-view observations from widely separated radars, compared their monostatic counterparts. Nevertheless, when number is limited, performing bears brunt parameter identifiability requirement that must be no less than independent measurements. In this way, canonical two-stage method, as well its developments, longer appropriate for direct application. Hence, in paper, we propose a...
This paper presents a method of automatic recognition weld defects based on fuzzy neural network (FNN). The image is preprocessed to extract defect features, according which 8 characteristic parameters are selected, and the FNN model used for set up. Here inputted samples fuzzified using /spl pi/ function. And different types processed three-layer BP learning algorithm. Using forty-two training seven testing examination, results show that this can recognize with better effects. research...