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Spatio-temporal fusion for remote sensing data:an overview and new benchmark

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Science China(Information Sciences) 2020年第4期63卷 7-23页

作者： Jun LI Yunfei LI Lin HE Jin CHEN antonio plaza Guangdong Provincial Key Laboratory of Urbanization and Geo-simulation School of Geography and Planning Sun Yat-sen University School of Automation Science and Engineering South China University of Technology State Key Laboratory of Earth Surface Processes and Resource Ecology Institute of Remote Sensing Science and Engineering Faculty of Geographical ScienceBeijing Normal University Hyperspectral Computing Laboratory Department of Technology of Computers and CommunicationsEscuela Politécnica University of Extremadura

Spatio-temporal fusion(STF) aims at fusing(temporally dense) coarse resolution images and(temporally sparse) fine resolution images to generate image series with adequate temporal and spatial resolution. In the last decade, STF has drawn a lot of attention and many STF methods have been ***, to date the STF domain still lacks benchmark datasets, which is a pressing issue that needs to be addressed in order to foster the development of this field. In this review, we provide(for the first time in the literature) a robust benchmark STF dataset that includes three important characteristics:(1) diversity of regions,(2) long timespan, and(3) challenging scenarios. We also provide a survey of highly representative STF techniques, along with a detailed quantitative and qualitative comparison of their performance with our newly presented benchmark dataset. The proposed dataset is public and available online.

关键词： spatio-temporal fusion(STF) multi-temporal remote sensing data benchmark data experimental validation

A new sensor bias-driven spatio-temporal fusion model based on convolutional neural networks

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Science China(Information Sciences) 2020年第4期63卷 24-39页

作者： Yunfei LI Jun LI Lin HE Jin CHEN antonio plaza Guangdong Provincial Key Laboratory of Urbanization and Geo-simulation School of Geography and Planning Sun Yat-sen University School of Automation Science and Engineering South China University of Technology State Key Laboratory of Earth Surface Processes and Resource Ecology Institute of Remote Sensing Science and Engineering Faculty of Geographical ScienceBeijing Normal University Hyperspectral Computing Laboratory Department of Technology of Computers and CommunicationsEscuela Politécnica University of Extremadura

Owing to the tradeoff between scanning swath and pixel size, currently no satellite Earth observation sensors are able to collect images with high spatial and temporal resolution simultaneously. This limits the application of satellite images in many fields, including the characterization of crop yields or the detailed investigation of human-nature interactions. Spatio-temporal fusion(STF) is a widely used approach to solve the aforementioned problem. Traditional STF methods reconstruct fine-resolution images under the assumption that changes are able to be transferred directly from one sensor to another. However, this assumption may not hold in real scenarios, owing to the different capacity of available sensors to characterize changes. In this paper, we model such differences as a bias, and introduce a new sensor bias-driven STF model(called Bia STF) to mitigate the differences between the spectral and spatial distortions presented in traditional methods. In addition, we propose a new learning method based on convolutional neural networks(CNNs) to efficiently obtain this bias. An experimental evaluation on two public datasets suggests that our newly developed method achieves excellent performance when compared to other available approaches.

关键词： spatio-temporal fusion(STF) convolutional neural networks(CNNs) sensor bias-driven STF

Special focus on deep learning in remote sensing image processing

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Science China(Information Sciences) 2020年第4期63卷 5-6页

作者： Feng XU Cheng HU Jun LI antonio plaza Mihai DATCU Fudan University Beijing Institute of Technology Sun Yat-sen University University of Extremadura German Aerospace Center

As a newly emerging technology, deep learning is a very promising field in big data applications. Remote sensing applications often involve huge volume data obtained daily by numerous in-orbit satellites. This makes it a perfect area for data-driven applications. Over the past years, there has been an exponentially increasing interest in deep learning for remote sensing image processing, including not only optical imagery but also synthetic aperture radar (SAR) imagery. In addition to the rapidly growing size and spectral,

关键词： image Special focus on deep learning in remote sensing image processing

Exploring the factors influencing the hydrological response of soil after low and high-severity fires with post-fire mulching in Mediterranean forests

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International Soil and Water Conservation Research 2023年第1期11卷 169-182页

作者： Manuel Esteban Lucas-Borja Pedro antonio plaza-Alvarez Xiangzhou Xu Bruno Gianmarco Carra Demetrio antonio Zema Castlla La Mancha University School of Advanced Agricultural and Forestry Engineering.Department of Agroforestry Technology and Science and GeneticsCampus Universitario s/nE-02071AlbaceteSpain "Mediterranea"University of Reggio Calabria Department"AGRARIA"Localita Feo di VitoI-89122Reggio CalabriaItaly Institute of Environmental and Water Resources School of Hydraulic EngineeringDalian University of Technology2Ling GongGanjingziDalian116024China

Despite ample literature,the influence of the individual soil properties and covers on the hydrological response of burned soils of forests has not clearly identified.A clear understanding of the surface runoff and erosion rates altered by wildfires and prescribed fires is beneficial to identify the most suitable post-fire treatment This study has carried out a combined analysis of the hydrological response of soil and its driving factors in burned forests of Central-Eastern *** pine stands of these forests were subjected to both prescribed fire and wildfire,and,in the latter case,to post-fire treatment with ***,simple multi-regression models are proposed to predict runoff and erosion in the experi-mental *** the case of the prescribed burning,the fire had a limited impact on runoff and erosion compared to the unburned areas,due to the limited changes in soil *** contrast,the wildfire increased many-fold the runoff and erosion rates,but the mulching reduced the hydrological response of the burned soils,particularly for the first two-three rainfalls after the *** increase in runoff and erosion after the wildfire was associated to the removal of the vegetation cover,soil water repellency,and ash left by fire;the changes in water infiltration played a minor role on runoff and *** multi-regression models developed for the prescribed fire were accurate to predict the post-fire runoff ***,these models were less reliable for predictions of the mean erosion *** predictions of erosion after wildfire and mulching were excellent,while those of runoff were not satisfactory(except for the mean values).These results are useful to better understand the relations among the hydrological effects of fire on one side and the main soil properties and covers on the other ***,the proposed prediction models are useful to support the planning activities of forest managers and hydrologists towards a more ef

关键词： Wildhre Prescribed fire Soil cover Soil properties Soil water repellency Infiltration rate Surface runoff Soil loss Erosion

Spectral‐spatial sequence characteristics‐based convolutional transformer for hyperspectral change detection

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CAAI Transactions on Intelligence Technology 2023年第4期8卷 1237-1257页

作者： Chengle Zhou Qian Shi Da He Bing Tu Haoyang Li antonio plaza School of Geography and Planning Sun Yat‐sen UniversityGuangzhouChina Guangdong Provincial Key Laboratory for Urbanization and GeoSimulation Sun Yat‐sen UniversityGuangzhouChina Institute of Optics and Electronics Nanjing University of Information Science and TechnologyNanjingChina Hyperspectral Computing Laboratory Escuela PolitecnicaUniversity of ExtremaduraCaceresSpain

Recently,ground coverings change detection(CD)driven by bitemporal hyperspectral images(HSIs)has become a hot topic in the remote sensing *** are two challenges in the HSI‐CD task:(1)attribute feature representation of pixel pairs and(2)feature extraction of attribute patterns of pixel *** solve the above problems,a novel spectral‐spatial sequence characteristics‐based convolutional transformer(S3C‐CT)method is proposed for the HSI‐CD *** the designed method,firstly,an eigenvalue extrema‐based band selection strategy is introduced to pick up spectral information with salient attribute ***,a 3D tensor with spectral‐spatial sequence characteristics is proposed to represent the attribute features of pixel pairs in the bitemporal ***,a fusion framework of the convolutional neural network(CNN)and Transformer encoder(TE)is designed to extract high‐order sequence semantic features,taking into account both local context information and global sequence ***,a spatial‐spectral attention mechanism is employed to prevent information reduction and enhance dimensional interactivity between the CNN and ***,the binary change map is determined according to the fully‐connected *** results on real HSI datasets indicated that the proposed S3C‐CT method outperforms other well‐known and state‐of‐the‐art detection approaches in terms of detection performance.

关键词： change detection imageanalysis

基于MERIS影像空间、光谱及时间维信息提取亚像元级的土地覆盖组分(英文)

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遥感学报 2007年第5期11卷 659-668页

作者： Raul Zurita-Milla Jan G.P.W. Clevers Michael E. Schaepman antonio J. plaza 瓦赫宁根大学地理信息中心埃斯特雷马杜拉大学计算机科学系

及时获取有效的土地覆盖信息是地球系统模拟的基础。因此,中等空间分辨率传感器如MODIS或MERIS空前的通道设置与观测能力,使其具有快速更新土地覆盖图的能力。本文说明了如何结合MERIS的空间维(像元大小为300m)、光谱维(可见光与近红外... 详细信息

及时获取有效的土地覆盖信息是地球系统模拟的基础。因此,中等空间分辨率传感器如MODIS或MERIS空前的通道设置与观测能力,使其具有快速更新土地覆盖图的能力。本文说明了如何结合MERIS的空间维(像元大小为300m)、光谱维(可见光与近红外范围内15个通道)和时间维(重返周期2—3d),用于获取不同区域土地覆被组分的亚像元级组成权重。利用4月、7月和8月三期MERIS FR1b级数据得到荷兰主要土地覆被类型的组成权重。单一时相和多时相的数据都使用单个像元最优化的端元数进行线性光谱分解。利用一种形态偏离指数得到MERIS的空间维并用于端元的选择。应用荷兰土地利用数据库(LGN5)25m分辨率的栅格数据作为本文的参考数据。基于这种数据的高分辨率,因此可以从像元和亚像元的水平同时评价的分类精度。结果显示,结合4月和7月的影像可以获得最优的分类结果,精度约为58%。总的说来,亚像元和像元级的分类精度相似。通过几种组分类别和日期的光谱融合表明,物候状况对于数据获取时相最佳结合的选择以及正确识别土地覆盖类型的重要性。

关键词： MERIS 线性光谱分解端元形态学亚像元

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Quality-adjusted life years and surgical waiting list:Systematic review of the literature

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World Journal of Gastrointestinal Surgery 2024年第4期16卷 1155-1164页

作者： Roberto de la plaza Llamas Lorena Ortega Azor Marina Hernández Yuste Ludovica Gorini Raquel Aránzazu Latorre-Fragua Daniel Alejandro Díaz Candelas Farah Al Shwely Abduljabar Ignacio antonio Gemio del Rey Department of General and Digestive Surgery Hospital Universitario de GuadalajaraGuadalajara 19002Spain Department of Surgery Medical and Social SciencesFaculty of Medicine and Health SciencesUniversity of AlcaláAlcaláde Henares 28871MadridSpain

BACKGROUND The quality-adjusted life year(QALY)is a metric that is increasingly used today in the field of health economics to evaluate the value of different medical treatments and *** waiting lists(SWLs)represent a pressing problem in public *** QALY measure has rarely been used in the context of *** would be interesting to know how many QALYs are lost by patients on *** To investigate the relationship between QALYs and SWLs in a systematic review of the scientific *** The study was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses *** unlimited search was carried out in PubMed,updated on January 19,*** on the following variables were investigated and analyzed:Specialty,country of study,procedure under study,scale used to measure QALYs,the use of a theoretical or real-life model,objectives of the study and items measured,the economic value assigned to the QALY in the country in question,and the results and conclusions *** Forty-eight articles were selected for the *** data were found regarding QALYs lost on *** specialties in which QALYs were studied the most in relation to the waiting list were urology and general surgery,with 15 articles *** country in which the most studies of QALYs were carried out was the United States(n=21),followed by the United Kingdom(n=9)and Canada(n=7).The most studied procedure was organ transplantation(n=39),including 15 kidney,14 liver,5 heart,4 lung,and 1 ***(n=4),cataract surgery(n=2),bariatric surgery(n=1),mosaicplasty(n=1),and septoplasty(n=1)completed the surgical interventions ***-nine of the models used were theoretical(the most frequently applied being the Markov model,n=34),and nine were *** survey used to measure quality of life in 11 articles was the European Quality of Life-5 dimensions,but in 32 articles the survey was not specified.T

关键词： Quality-adjusted life year Waitlist Quality of life Surgery Systematic review

Ca-based materials derived from calcined cigarette butts for CO_(2)capture and thermochemical energy storage

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Journal of Environmental Sciences 2024年第6期140卷 230-241页

作者： Nabil Amghar Virginia Moreno Pedro E.Sánchez-Jiménez antonio Perejón Luis A.Pérez-Maqueda Instituto de Ciencia de Materiales de Sevilla C.S.I.C.-Universidad de SevillaC.Américo Vespucio4941092 SevillaSpain Instituto de Tecnología de Materiales(ITM) Universitat Politècnica de València(UPV)Plaza Ferrándiz y Carbonell 1AlcoyAlicante 03801Spain Departamento de Química Inorgánica Facultad de QuímicaUniversidad de Sevilla41012 SevillaSpain

Cigarette butts(CBs)are one of the most common types of litter in the *** to the toxic substances they contain,the waste generated poses a harmful risk to the environment,and therefore there is an urgent need for alternative solutions to landfill ***,this work presents a possible revalorization of this waste material,which implies interesting environmental *** were used as sacrificial templates for the preparation of CaO-based materials by impregnation with calcium and magnesium nitrates followed by flaming *** materials presented enhanced porosity for their use in the Calcium Looping process applied either to thermochemical energy storage or CO_(2)capture *** influence of the concentration of Ca and Mg in the impregnating solutions on the multicycle reactivity of the samples was *** improved multicycle performance was obtained in terms of conversion for both applications.

关键词： Cigarette butts Calcium-Looping CO_(2)Capture Thermochemical energy storage

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Digestive and breast cancer patients managed during the first wave of COVID-19 pandemic:Short and middle term outcomes

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World Journal of Methodology 2024年第2期14卷 107-126页

作者： Jacobo Trébol Ana Carabias-Orgaz María Carmen Esteban-Velasco Asunción García-plaza Juan Ignacio González-Munoz Ana Belén Sánchez-Casado Felipe Carlos Parreno-Manchado Marta Eguía-Larrea José antonio Alcázar-Montero Cirugía General y del Aparato Digestivo Complejo Asistencial Universitario de SalamancaSalamanca 37007SalamancaSpain Cirugía Universidad de SalamancaSalamanca 37007SalamancaSpain Oftalmología Complejo Asistencial Universitario de SalamancaSalamanca 37007SalamancaSpain

BACKGROUND The first wave of coronavirus disease 2019(COVID-19)pandemic in Spain lasted from middle March to the end of June *** population was subjected to lockdown periods and scheduled surgeries were discontinued or reduced during variable *** our centre,we managed patients previously and newly diagnosed with *** established a strategy based on limiting perioperative social contacts,preoperative screening(symptoms and reverse transcriptionpolymerase chain reaction)and creating separated in-hospital COVID-19-free pathways for non-infected *** also adopted some practice modifications(surgery in different facilities,changes in staff and guidelines,using continuously changing personal protective equipment…),that supposed new *** To analyse cancer patients with a decision for surgery managed during the first wave,focalizing on outcomes and pandemic-related *** We prospectively included adults with a confirmed diagnosis of colorectal,oesophago-gastric,liver-pancreatic or breast cancer with a decision for surgery,regardless of whether they ultimately underwent *** analysed short-term outcomes[30-d postoperative morbimortality and severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)infection]and outcomes after 3 years(adjuvant therapies,oncological events,death,SARS-CoV-2 infection and vaccination).We also investigated modifications to usual *** From 96 included patients,seven didn’t receive treatment that period and four never(3 due to COVID-19).Operated patients:28 colon and 21 rectal cancers;laparoscopy 53.6%/90.0%,mortality 3.57%/0%,major complications 7.04%/25.00%,anastomotic leaks 0%/5.00%,3-years disease-free survival(DFS)82.14%/52.4%and overall survival(OS)78.57%/76.2%.Six liver metastases and six pancreatic cancers:no mortality,one major complication,three grade A/B liver failures,one bile leak;3-year DFS 0%/33.3%and OS 50.0%/33.3%(liver metastases/pancreatic carcinoma).5 g

关键词： COVID-19 SARS-CoV-2 Colon cancer Rectal cancer Breast cancer Liver cancer Pancreatic cancer Gastric cancer Oesophageal cancer Surgery