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| 1 | Multimodal hyperspectral remote sensing:an overview and perspective显示文摘Since the advent of hyperspectral remote sensing in the 1980 s,it has made important achievements in aerospace and aviation field and been applied in many fields.Conventional hyperspectral imaging spectrometer extends the number of spectral bands to dozens or hundreds,and provides spatial distribution of the reflected solar radiation from the scene of observation at the same time.Nowadays,with the fast development of new technology in the fields of information and photoelectricity sensing,and the popularity of unmanned aerial vehicle,hyperspectral remote sensing imaging presents the new trends of multimodality and acquires integration information while keeping high or very-high spectral resolution,especially,high temporal even real time sensing and stereo sensing.Therefore,three important modes of hyperspectral imaging come into existence:(1)multitemporal hyperspectral imaging,which refers to the observation of same region at different dates;(2)hyperspectral video imaging,which captures full frame spectral images in real-time;(3)hyperspectral stereo imaging,which obtains the full dimension information(including 2D image,elevation,and spectra)of observed scene.Along this perspective,firstly,the current researches on hyperspectral remote sensing and image processing are briefly reviewed,and then,comprehensive descriptions of the aforementioned three main hyperspectral imaging modes are carried out from the following four aspects:fundamental principle of new mode of hyperspectral imaging,corresponding scientific data acquisition,data processing and application,and potential challenges in data representation,feature learning and interpretation.Through the analysis of development trend of hyperspectral imaging and current research situation,we hope to provide a direction for future research on multimodal hyperspectral remote sensing. | Yanfeng GU Tianzhu LIU Guoming GAO Guangbo REN Yi MA Jocelyn CHANUSSOT Xiuping JIA | 2021 | Science China(Information Sciences)2021，64，2： | 6 |
| 2 | Experimental research on oil fi lm thickness and its microwave scattering during emulsifi cation显示文摘Synthetic Aperture Radar(SAR) plays a major role in identifying oil spills on the sea surface.However,obtaining information of oil spill thickness(volume) is still a challenge.Emulsification is an important process affecting the thickness and normalized radar cross section(NRCS) of oil film.Experiments of crude oil emulsification with C-band fully-polarized scatterometer were conducted combining airborne hyperspectral imaging spectrometer and 3 D laser scanner observation data,to provide experimental parameters and method to support accurate remote sensing monitoring on marine oil spill.It is further proved that through quantitative homogeneous emulsified oil spill experiments,to a certain extent,the NRCS of oil film increased during the emulsification process of crude oil.The backscattering mechanism of crude oil emulsification was explored using a semi-empirical model(SEM);the change of oil film NRCS was modulated by its dielectric constant and surface roughness,in which the dielectric constant showed a dominant effect.The relationship between thickness and NRCS of oil film was studied under two experimental conditions.The differences of NRCS between oil film and adjacent seawater(Δσ~0) and the damping ratio(DR) were found to have a linear relationship with oil thickness,which were best in the vertical polarization mode(VV) at 45° incident angle during the quantitative crude oil homogeneous emulsification process.In the natural emulsification process of continuous oil spill in which oil film was mixed with both crude oil and emulsified oil,an empirical equation of oil film thickness is preliminarily established.The Δσ~0,DR,and the empirical equation of oil film thickness were applied to the marine continuous oil spill incident on a 19-3 oil platform with spaceborne SAR image and successfully explained the distribution of the relative thickness of the oil film. | Jie GUO Chenqi XU Genwang LIU Xi ZHANG Junmin MENG Guangbo REN | 2022 | Journal of Oceanology and Limnology2022，40，4： | 2 |
| 3 | VHH212 nanobody targeting the hypoxia-inducible factor 1α suppresses angiogenesis and potentiates gemcitabine therapy in pancreatic cancer in vivo显示文摘Objective:We aimed to develop a novel anti-HIF-1αintrabody to decrease gemcitabine resistance in pancreatic cancer patients.Methods:Surface plasmon resonance and glutathione S-transferase pull-down assays were conducted to identify the binding affinity and specificity of anti-HIF-1αVHH212[a single-domain antibody(nanobody)].Molecular dynamics simulation was used to determine the protein-protein interactions between hypoxia-inducible factor-1α(HIF-1α)and VHH212.The real-time polymerase chain reaction(PCR)and Western blot analyses were performed to identify the expressions of HIF-1αand VEGF-A in pancreatic ductal adenocarcinoma cell lines.The efficiency of the VHH212 nanobody in inhibiting the HIF-1 signaling pathway was measured using a dual-luciferase reporter assay.Finally,a PANC-1 xenograft model was developed to evaluate the anti-tumor efficiency of combined treatment.Immunohistochemistry analysis was conducted to detect the expressions of HIF-1αand VEGF-A in tumor tissues.Results:VHH212 was stably expressed in tumor cells with low cytotoxicity,high affinity,specific subcellular localization,and neutralization of HIF-1αin the cytoplasm or nucleus.The binding affinity between VHH212 and the HIF-1αPAS-B domain was 42.7 n M.Intrabody competitive inhibition of the HIF-1αheterodimer with an aryl hydrocarbon receptor nuclear translocator was used to inhibit the HIF-1/VEGF pathway in vitro.Compared with single agent gemcitabine,co-treatment with gemcitabine and a VHH212-encoding adenovirus significantly suppressed tumor growth in the xenograft model with 80.44%tumor inhibition.Conclusions:We developed an anti-HIF-1αnanobody and showed the function of VHH212 in a preclinical murine model of PANC-1 pancreatic cancer.The combination of VHH212 and gemcitabine significantly inhibited tumor development.These results suggested that combined use of anti-HIF-1αnanobodies with first-line treatment may in the future be an effective treatment for pancreatic cancer. | Guangbo Kang Min Hu He Ren Jiewen Wang Xin Cheng Ruowei Li Bo Yuan Yasmine Balan Zixuan Bai He Huang | 2021 | Cancer Biology & Medicine2021，18，3： | 1 |
| 4 | Coastal wetland hyperspectral classification under the collaborative of subspace partition and infinite probabilistic latent graph ranking显示文摘The abundance of spectral information provided by hyperspectral imagery offers great benefits for many applications.However,processing such high-dimensional data volumes is a challenge because there may be redundant bands owing to the high interband correlation.This study aimed to reduce the possibility of“dimension disaster”in the classification of coastal wetlands using hyperspectral images with limited training samples.The study developed a hyperspectral classification algorithm for coastal wetlands using a combination of subspace partitioning and infinite probabilistic latent graph ranking in a random patch network(the SSP-IPLGR-RPnet model).The SSP-IPLGR-RPnet approach applied SSP techniques and an IPLGR algorithm to reduce the dimensions of hyperspectral data.The RPnet model overcame the problem of dimension disaster caused by the mismatch between the dimensionality of hyperspectral bands and the small number of training samples.The results showed that the proposed algorithm had a better classification performance and was more robust with limited training data compared with that of several other state-of-the-art methods.The overall accuracy was nearly 4%higher on average compared with that of multi-kernel SVM and RF algorithms.Compared with the EMAP algorithm,MSTV algorithm,ERF algorithm,ERW algorithm,RMKL algorithm and 3D-CNN algorithm,the SSP-IPLGR-RPnet algorithm provided a better classification performance in a shorter time. | HU YaBin REN GuangBo MA Yi YANG JunFang WANG JianBu AN JuBai LIANG Jian MA YuanQing SONG XiuKai | 2022 | Science China(Technological Sciences)2022，65，4： | 0 |
| 5 | The hidden risk of microplastic-associated pathogens in aquatic environments显示文摘Increasing studies of plastisphere have raised public concern about microplastics(MPs)as vectors for pathogens,especially in aquatic environments.However,the extent to which pathogens affect human health through MPs remains unclear,as controversies persist regarding the distinct pathogen colonization on MPs as well as the transmission routes and infection probability of MP-associated pathogens from water to humans.In this review,we critically discuss whether and how pathogens approach humans via MPs,shedding light on the potential health risks involved.Drawing on cutting-edge multidisciplinary research,we show that some MPs may facilitate the growth and long-range transmission of specific pathogens in aquatic environments,ultimately increasing the risk of infection in humans.We identify MP-and pathogen-rich settings,such as wastewater treatment plants,aquaculture farms,and swimming pools,as possible sites for human exposure to MP-associated pathogens.This review emphasizes the need for further research and targeted interventions to better understand and mitigate the potential health risks associated with MP-mediated pathogen transmission. | Huan Zhong Mengjie Wu Christian Sonne Su Shiung Lam Raymond W.M.Kwong Yuelu Jiang Xiaoli Zhao Xuemei Sun Xuxiang Zhang Chengjun Li Yuanyuan Li Guangbo Qu Feng Jiang Huahong Shi Rong Ji Hongqiang Ren | 2023 | Eco-Environment & Health2023，2，3： | 0 |
| 6 | Distribution and invasion of Spartina alterniflora within the Jiaozhou Bay monitored by remote sensing image显示文摘Spartina alterniflora as an alien invasive plant,poses a serious threat to the ecological functions of the coastal wetland of the Jiaozhou Bay.As of 2019,the distribution area of S.alterniflora in the Jiaozhou Bay has reached more than 500 hm^(2).For this reason,combined with field surveys,remote sensing monitoring of the invasion S.alterniflora in the Jiaozhou Bay has been carried out.To accurately identify S.alterniflora within the Jiaozhou Bay coastal wetland,we used a new method which is an implement of deep convolutional neural network,and by which we got a higher accuracy than the traditional method.Based on distribution of S.alterniflora extracted by the proposed method,the temporal and spatial distribution characteristics of S.alterniflora were analyzed.And then combined with environmental factors,the invasion mechanism of S.alterniflora in the Jiaozhou Bay was analyzed in detail.From the monitoring results,it can be seen that S.alterniflora in Jiaozhou Bay is mainly distributed in the beaches near the Yanghe River Estuary and its southern side,the Dagu River Estuary and the Nügukou.Spartina alterniflora first broke out near the Yanghe River Estuary and gradually spread to the tidal flats near the Nügukou.The Dagu River Estuary is dominated by S.anglica,whose area has not changed much over the years,and a small amount of S.alterniflora has invaded later. | Jianbu Wang Zhaoyang Lin Yuanqing Ma Guangbo Ren Zijun Xu Xiukai Song Yi Ma Andong Wang Yajie Zhao | 2022 | Acta Oceanologica Sinica2022，41，6： | 0 |
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