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Bioinspired Multifunctional Self-sensing Actuated Gradient Hydrogel for Soft-Hard Robot remote Interaction

Nano-Micro Letters 2024年第4期16卷 139-152页

作者： He Liu Haoxiang Chu Hailiang yuan Deliang Li Weisi Deng Zhiwei Fu Ruonan Liu Yiying Liu Yixuan Han Yanpeng Wang Yue Zhao Xiaoyu Cui Ye Tian College of Medicine and Biological information engineering Northeastern UniversityShenyang 110169People’s Republic of China Foshan Graduate school of Innovation Northeastern UniversityFoshan 528300People’s Republic of China

The development of bioinspired gradient hydrogels with self-sensing actuated capabilities for remote interaction with soft-hard robots remains a challenging endeavor. Here, we propose a novel multifunctional self-sensing actuated gradient hydrogel that combines ultrafast actuation and high sensitivity for remote interaction with robotic hand. The gradient network structure, achieved through a wettability difference method involving the rapid precipitation of MoO_(2) nanosheets, introduces hydrophilic disparities between two sides within hydrogel. This distinctive approach bestows the hydrogel with ultrafast thermo-responsive actuation(21° s^(-1)) and enhanced photothermal efficiency(increase by 3.7 ℃ s^(-1) under 808 nm near-infrared). Moreover, the local cross-linking of sodium alginate with Ca^(2+) endows the hydrogel with programmable deformability and information display capabilities. Additionally, the hydrogel exhibits high sensitivity(gauge factor 3.94 within a wide strain range of 600%), fast response times(140 ms) and good cycling stability. Leveraging these exceptional properties, we incorporate the hydrogel into various soft actuators, including soft gripper, artificial iris, and bioinspired jellyfish, as well as wearable electronics capable of precise human motion and physiological signal detection. Furthermore, through the synergistic combination of remarkable actuation and sensitivity, we realize a self-sensing touch bioinspired tongue. Notably, by employing quantitative analysis of actuation-sensing, we realize remote interaction between soft-hard robot via the Internet of Things. The multifunctional self-sensing actuated gradient hydrogel presented in this study provides a new insight for advanced somatosensory materials, self-feedback intelligent soft robots and human–machine interactions.

关键词： Self-sensing Gradient structure Bioinspired actuator Hydrogel sensor remote interaction

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Rotational Doppler effect of composite vortex beams with tailored OAM spectra

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Photonics Research 2024年第8期12卷 1665-1672页

作者： YUTIAN LIANG RUIJIAN LI JIE ZHAO XINGyuan LU TONG LIU ZHENGLIANG LIU yuan REN CHENGLIANG ZHAO Department of Aerospace Science and Technology Space Engineering UniversityBeijing 101416China school of Physical Science and Technology Soochow UniversitySuzhou 215006China Department of Basic Course Space Engineering UniversityBeijing 101416China

There recently has been increasing interest in the research and application of the rotational Doppler effect(RDE),which paves a promising way to detect rotating objects *** order to obtain more information about the rotating object from the rotational Doppler signal,composite vortex beams by coaxial superposition of orbital angular momentum(OAM)modes are often used as the probe ***,to the best of our knowledge,the RDE of composite vortex beams with arbitrary OAM spectra has not yet been comprehensively *** this paper,the correspondence between the OAM spectrum of a probe beam and the frequency spectrum of a rotational Doppler signal is theoretically *** is explicitly revealed that the RDE frequency spectrum of scattered light is related to the product of two autocorrelation functions:one from the OAM spectrum of probe beam and the other from the spiral spectrum of rotating *** the basis of this relation,one can regulate the RDE frequency spectrum on demand via tailoring the OAM spectrum of the probe *** a proof of concept we design a special composite vortex beam to eliminate the broadening of the RDE spectrum induced by *** findings are of practical value in applications such as remote sensing and optical metrology.

关键词： OAM composite rotating

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Reconciled estimation of Antarctic ice sheet mass balance and contribution to global sea level change from 1996 to 2021

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Science china Earth Sciences 2024年第11期67卷 3562-3578页

作者： Rongxing LI Guojun LI Gang HAI Huan XIE yuan CHENG Wei CHEN Xiangbin CUI Minghu DING Chunchun GAO Tong HAO Changqing KE Chuanjin LI Jin LI Yan LIU Jiangjun RAN Jiawen REN Qiang SHEN Yunzhong SHEN Hongling SHI Songyun WANG Zemin WANG Jingang ZHAN Baojun ZHANG Min ZHONG Chunxia ZHOU Center for Spatial information Science and Sustainable Development Applications Tongji University College of Surveying and Geo-informatics Tongji University Institute for the Conservation of Cultural Heritage School of Cultural Heritage and Information Management Shanghai University College of Resource Environment and Tourism Hubei University of Arts and Science Polar Research Institute of china State Key Laboratory of Severe Weather Chinese Academy of Meteorological Sciences College of Geodesy and Geomatics Shandong University of Science and Technology school of Geography and Ocean Science Nanjing University Shanghai Astronomical Observatory Chinese Academy of Sciences State Key Laboratory of remote sensing Science Faculty of Geographical Science Beijing Normal University Department of Earth and Space Sciences Southern University of Science and Technology State Key Laboratory of Cryospheric Science Northwest Institute of Eco-Environment and Resources Chinese Academy of Sciences State Key Laboratory of Geodesy and Earth's Dynamics Innovation Academy for Precision Measurement Science and TechnologyChinese Academy of Sciences Center for Space Research University of Texas at Austin Chinese Antarctic Center of Surveying and Mapping Wuhan University school of Geospatial engineering and Science Sun Yat-sen University

The Antarctic Ice Sheet（AIS） has been losing ice mass and contributing to global sea level rise（GSLR）. Given its mass that is enough to cause ～58 m of GSLR, accurate estimation of mass balance trend is critical for AIS mass loss monitoring and sea level rise forecasting. Here, we present an improved approach to reconciled solutions of mass balance in AIS and its regions from multiple contributing solutions using the input-out, altimetric, and gravimetric methods. In comparison to previous methods, such as IMBIE 2018, this approach utilizes an adaptive data aggregation window to handle the heterogeneity of the contributing solutions, including the number of solutions, temporal distributions, uncertainties, and estimation techniques. We improved the regression-based method by using a two-step procedure that establishes ensembled solutions within each method（input-output, altimetry, or gravimetry） and then estimates the method-independent reconciled solutions. For the first time, 16contributing solutions from 8 Chinese institutions are used to estimate the reconciled mass balance of AIS and its regions from1996 to 2021. Our results show that AIS has lost a total ice mass of ～3213±253 Gt during the period, an equivalent of～8.9±0.7 mm of GSLR. There is a sustained mass loss acceleration since 2006, from 88.1±3.6 Gt yr-1during 1996–2005 to 130.7 ±8.4 Gt yr-1during 2006–2013 and further to 157.0±9.0 Gt yr-1during 2014–2021. The mass loss signal in the West Antarctica and Antarctic Peninsula is dominant and clearly presented in the reconciled estimation and contributing solutions, regardless of estimation methods used and fluctuation of surface mass balance. Uncertainty and challenges remain in mass balance estimation in East Antarctica. This reconciled estimation approach can be extended and applied for improved mass balance estimation in the Greenland Ice Sheet and mountain glacier regions.

关键词： Antarctic Ice Sheet Ice mass loss acceleration Sea level rise Reconciled estimation

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Magnetized magma intrusions being sources of a weak and a strong lunar magnetic anomaly revealed by 3D distribution of magnetization

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Earth and Planetary Physics 2024年第5期8卷 711-727页

作者： HongYi Wang Shuo Yao ZeLin Li Liang Hui Guo Jing Yang ChangLi Yao yuan Fang ZhaoJin Rong school of Geophysics and information Technology Research Center of Lunar and Planetary Remote Sensing Exploration China University of Geosciences (Beijing) Key Laboratory of Intraplate Volcanoes and Earthquakes (china university of Geosciences Beijing) Ministry of Education Hebei university of engineering Key Laboratory of Earth and Planetary Physics Institute of Geology and Geophysics Chinese Academy of Sciences

In this work, we aim to investigate the origin of the magnetic carriers in the lunar crust and the intensity of the ancient dynamo field. The magnetization and depth range of magnetic carriers are studied under a weak and a strong magnetic anomaly in Mare Tranquillitatis and in Oceanus Procellarum, respectively, where the surface ages are 3.6 and 3.3 billion years. A sophisticated threedimensional amplitude inversion software program from a geophysical survey is used to reconstruct the distributions of magnetization in the lunar crust. Because no globally measured surface magnetic field exists for the Moon, a crustal magnetic anomaly model with a grid resolution of 0.2° is used. The depth range of the magnetic source is fixed by the boundary identified by a relative criterion, which is 20%of the recovered maximum magnetization. The central burial depths of the magnetic carriers are approximately 15 km and 25 km under Reiner Gamma and Mare Tranquillitatis, respectively. The volumes of the two magnetic sources are at scales of 104 and 105 km3,respectively. The aforementioned differences may imply a hotter crust under Reiner Gamma than Mare Tranquillitatis by 3.3 billion *** results support the view that the magma intrusions magnetized by an ancient magnetic field could be the origin of magnetic anomalies under Reiner Gamma and Mare Tranquillitatis. Compared with previous works, the maximum magnetization of 3 A/m under Reiner Gamma supports the intensity of the field being several microteslas.

关键词： lunar magnetic anomaly 3D distribution of magnetization Reiner Gamma Mare Tranquillitatis

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Development of Spectral Features for Monitoring Rice Bacterial Leaf Blight Disease Using Broad-Band remote sensing Systems

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Phyton-International Journal of Experimental Botany 2024年第4期93卷 745-762页

作者： Jingcheng Zhang Xingjian Zhou Dong Shen Qimeng Yu Lin yuan Yingying Dong College of Artificial Intelligence Hangzhou Dianzi UniversityHangzhou310018China school of information engineering Zhejiang University of Water Resources and Electric PowerHangzhou310018China Key Laboratory of Digital Earth Science Aerospace Information Research InstituteChinese Academy of SciencesBeijing100094China

As an important rice disease, rice bacterial leaf blight (RBLB, caused by the bacterium Xanthomonas oryzae ***), has become widespread in east china in recent years. Significant losses in rice yield occurred as a result ofthe disease’s epidemic, making it imperative to monitor RBLB at a large scale. With the development of remotesensing technology, the broad-band sensors equipped with red-edge channels over multiple spatial resolutionsoffer numerous available data for large-scale monitoring of rice diseases. However, RBLB is characterized by rapiddispersal under suitable conditions, making it difficult to track the disease at a regional scale with a single sensorin practice. Therefore, it is necessary to identify or construct features that are effective across different sensors formonitoring RBLB. To achieve this goal, the spectral response of RBLB was first analyzed based on the canopyhyperspectral data. Using the relative spectral response (RSR) functions of four representative satellite or UAVsensors (i.e., Sentinel-2, GF-6, Planet, and Rededge-M) and the hyperspectral data, the corresponding broad-bandspectral data was simulated. According to a thorough band combination and sensitivity analysis, two novel spectralindices for monitoring RBLB that can be effective across multiple sensors (i.e., RBBRI and RBBDI) weredeveloped. An optimal feature set that includes the two novel indices and a classical vegetation index was *** capability of such a feature set in monitoring RBLB was assessed via FLDA and SVM algorithms. The resultdemonstrated that both constructed novel indices exhibited high sensitivity to the disease across multiple ***, the feature set yielded an overall accuracy above 90% for all sensors, which indicates its cross-sensorgenerality in monitoring RBLB. The outcome of this research permits disease monitoring with different remotesensing data over a large scale.

关键词： Rice bacterial leaf blight analysis of spectral response multispectral data simulation vegetation indices cross-sensor disease monitoring

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空间外差遥感数据光谱-干涉图双向校正算法研究

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光谱学与光谱分析 2024年第4期44卷 963-968页

作者：王新强王祯梁秋裕熊伟李志伟叶松甘永莹王方原桂林电子科技大学光电工程学院广西桂林541004 中国科学院安徽光学精密机械研究所安徽合肥230031 广西光电信息处理重点实验室广西桂林541004 中国科学院通用光学定标与表征技术重点实验室安徽合肥230031

空间外差光谱技术(SHS)作为新型高光谱分析技术,被广泛应用于大气检测、卫星遥感等领域,但由于空间外差光谱仪的制作不理想或工作环境的变化都会改变仪器参数而引入误差,使干涉图数据不准确,需要进行误差校正。在卫星平台下,由于与地面... 详细信息

空间外差光谱技术(SHS)作为新型高光谱分析技术,被广泛应用于大气检测、卫星遥感等领域,但由于空间外差光谱仪的制作不理想或工作环境的变化都会改变仪器参数而引入误差,使干涉图数据不准确,需要进行误差校正。在卫星平台下,由于与地面环境的巨大差异,导致地面测定的校正参数对空间外差干涉图数据不再适用,特别是调制项误差(相位误差和非均匀误差)的改变,极大影响了光谱的准确性。针对空间外差遥感数据的调制项误差,从光谱与干涉图两个方面入手,进行误差分离与原因分析,认为空间外差遥感数据误差主要来源于CCD尺寸伸缩导致的光谱频率变化和CCD响应改变导致的干涉图强度变化,提出了光谱-干涉图双向校正方法。校正测试数据选取高分五号搭载检测仪(GMI)实测的12条O 2吸收光谱。取其中一条作为标定光谱,以SCIATRAN仿真的无误差光谱为基准,与标定光谱进行对比,分析两者在光谱维的频率偏差,通过特征峰频率确定两者的频率变换关系。然后根据变换关系将仿真光谱进行频率拉伸,使拉伸后的仿真光谱与实测光谱谱峰重合,计算拉伸仿真光谱与实测光谱干涉图,将两者干涉图相比得到干涉图强度的变化关系。最后将干涉图强度变化关系用于其余11条光谱的校正,得到校正后光谱。为了衡量校正效果,以校正前后光谱的标准差、均方误差和信噪比作为评价指标。结果显示标准差、均方误差都明显降低,同时信噪比显著增大,且标准差基本都在0.07以下,信噪比基本能达到20以上。其中校正效果最好的实测光谱,标准差减少了0.3767,信噪比提高了25.1016,均方误差降低了0.1587,校正效果较差的实测光谱,标准差减少了0.2296,信噪比提高了9.6328,均方误差降低了0.1049。因此所提出的光谱-干涉图双向校正方法对空间外差遥感数据的误差校正起到较好的效果,且处理过程简单,为同类数据的处理提供了一种新思路。

关键词：空间外差遥感误差校正光谱谱峰频率干涉图强度幅值

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无人机多光谱影像的小麦倒伏信息多特征融合检测研究

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光谱学与光谱分析 2024年第1期44卷 197-206页

作者：朱文静冯展康戴世元张平平嵇文王爱臣魏新华江苏大学农业工程学院江苏镇江212013 江苏大学现代农业装备与技术教育部重点实验室江苏镇江212013 江苏省农业科学院粮食作物研究所江苏南京210014 江苏省洪泽湖农场集团有限公司农业科技研究所江苏宿迁223900

为探究多特征融合方法在作物倒伏领域快速精准识别中的适用性,利用无人机获取多田块冠层尺度的不同倒伏率麦田多光谱数据,对原始倒伏图像进行图像拼接、辐射校正、几何校正等预处理,并利用重归一化差值植被指数和阴影指数分别剔除土壤... 详细信息

为探究多特征融合方法在作物倒伏领域快速精准识别中的适用性,利用无人机获取多田块冠层尺度的不同倒伏率麦田多光谱数据,对原始倒伏图像进行图像拼接、辐射校正、几何校正等预处理,并利用重归一化差值植被指数和阴影指数分别剔除土壤和阴影背景,提取小麦倒伏DSM模型和植被指数分别与多光谱图像进行多特征图像主成分变换融合,筛选差异性较大的纹理特征,采用支持向量机(SVM)、人工神经网络(ANN)和最大似然法(MLC)监督分类模型对多光谱和DSM融合图像、多光谱和归一化植被指数(NDVI)融合图像、多光谱图像和纹理特征图像进行监督分类,并采用总体精度(OA)、 Kappa系数和提取误差综合评价各监督模型的分类性能和倒伏提取精度。分类结果表明:各监督分类方法在不同倒伏区域提取结果建模效果趋势一致,SVM和ANN整体提取精度高于MLC,在高倒伏区域,多光谱与NDVI融合图像的SVM监督模型(OA:92.63%, Kappa系数:0.85,提取误差:1.11%)提取效果最好;在中倒伏区域,多光谱与DSM融合图像的SVM监督模型(OA:90.35%, Kappa系数:0.79,提取误差:9.34%)提取效果最好;在低倒伏区域,均值纹理特征图像的ANN监督模型(OA:91.05%, Kappa系数:0.82,提取误差:8.20%)提取结果较好。本研究将DSM模型、植被指数、纹理特征与多光谱图像进行融合对比,并对多特征融合方法能否高精度有效提取小麦倒伏信息进行了探究,结果表明无人机多光谱遥感结合特征融合技术能有效提取小麦倒伏面积,提取效果优于单特征小麦倒伏图像。本研究结果可为助力小麦倒伏灾情调查数据的精确获取方法提供参考。

关键词：无人机遥感图像处理多光谱特征融合倒伏小麦

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差分信息引导的三分支洪涝水淹道路检测网络

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武汉大学学报（信息科学版） 2024年第8期49卷 1456-1465页

作者：冯昊亮苏鑫朱武张双成袁强强李振洪武汉大学测绘学院湖北武汉430079 武汉大学遥感信息工程学院湖北武汉430079 长安大学地质工程与测绘学院陕西西安710054

洪涝灾害是一种极具破坏力的自然灾害,其产生原因主要包括强降水、风暴潮以及水坝溃堤等,当城市、乡镇等居住区域发生洪涝灾害时,洪水会直接威胁到居民的生命财产安全,同时造成陆上及地下交通瘫痪、水电运输中断等。在洪涝灾害的抢险救... 详细信息

洪涝灾害是一种极具破坏力的自然灾害,其产生原因主要包括强降水、风暴潮以及水坝溃堤等,当城市、乡镇等居住区域发生洪涝灾害时,洪水会直接威胁到居民的生命财产安全,同时造成陆上及地下交通瘫痪、水电运输中断等。在洪涝灾害的抢险救灾过程中,快速准确地对洪涝淹没道路进行识别,有利于制定合适的人员转运及物资运送路线,减少洪涝带来的后续损失。针对当前洪涝灾害场景下的道路无法实现准确自动化识别的问题,提出了一种基于差分信息引导的洪涝水淹道路检测方法,该方法采用了三支路的编码器-解码器结构,利用条带卷积提取道路特征,协调双注意力机制引导网络学习多时相差分信息,挖掘水淹道路的时相信息。该方法能有效利用灾前的历史光学遥感影像和灾中的实时光学遥感影像对受灾区域内已被水淹和未被水淹的道路进行检测,并在自建数据集上进行对比实验,所提出网络对灾前道路的识别精确率为0.8381,召回率为0.6668,对灾中道路的识别精确率为0.7966,召回率为0.6074,对受灾区域识别精确率为0.7800,召回率为0.6614。结果表明,所提出方法达成了自动化识别洪涝灾区水淹道路的目标,其识别已被水淹道路及未被水淹道路的能力可为洪涝灾害的抢险救援提供有力支持,减小洪涝灾害带来的生命及财产损失。

关键词：遥感洪涝灾害水淹道路检测深度学习

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基于背景图像重构的船舶尾气遥感监测方法

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光学学报 2024年第12期44卷 376-385页

作者：何微微袁浩宸郭建军张子豪张会亮张一康周维武魁军烟台大学物理与电子信息学院山东烟台264005

提出一种基于羽流图像实现背景实时重构进而精确反演SO_(2)柱浓度的监测方法。首先,介绍图像重构法的数学原理及工程实现方法;然后,分别利用四像法和图像重构法处理船舶尾气图像反演数据得到SO_(2)柱浓度图像,验证图像重构方法的科学性... 详细信息

提出一种基于羽流图像实现背景实时重构进而精确反演SO_(2)柱浓度的监测方法。首先,介绍图像重构法的数学原理及工程实现方法;然后,分别利用四像法和图像重构法处理船舶尾气图像反演数据得到SO_(2)柱浓度图像,验证图像重构方法的科学性;最后,采用光流算法分别处理两种方法获得的浓度图像来计算排放速率,进一步验证图像重构法的优越性。结果表明,图像重构法可以实时校准背景图像,将SO_(2)柱浓度图像反演误差降低了约66%。图像重构法的简便、实用、准确的技术优势,在移动污染源遥感监测方面具有良好的应用前景。

关键词：遥感船舶尾气 SO2紫外相机图像重构排放速率四像法光流算法

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基于多源辅助变量和随机森林模型的耕地土壤重金属含量空间分布预测

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环境科学 2024年第1期45卷 386-395页

作者：解雪峰郭炜炜濮励杰缪源卿蒋国俊张建珍徐飞吴涛浙江师范大学地理与环境科学学院金华321004 南京大学地理与海洋科学学院南京210023 江苏省有色金属华东地质勘查局地球化学勘查与海洋地质调查研究院南京210007 浙江财经大学土地与城乡发展研究院杭州310018

农田土壤重金属含量的空间预测对于监测耕地污染和确保生态农业可持续发展至关重要.从地形、气候、土壤属性、遥感信息、植被指数和人为活动这6个方面选取了32个环境变量作为辅助变量,并构建随机森林(RF)、回归克里格(RK)、普通克里格(... 详细信息

农田土壤重金属含量的空间预测对于监测耕地污染和确保生态农业可持续发展至关重要.从地形、气候、土壤属性、遥感信息、植被指数和人为活动这6个方面选取了32个环境变量作为辅助变量,并构建随机森林(RF)、回归克里格(RK)、普通克里格(OK)和多元线性回归(MLR)模型来预测耕地土壤中As、Cd、Cr、Cu、Hg、Ni、Pb和Zn的含量.结果表明,与RK、OK和MLR相比,RF模型对As、Cd、Cr、Hg、Pb和Zn的预测性能更高,而OK和RK模型分别对Cu和Ni含量的预测精度更高,表现为预测拟合优度(R^(2))最高而平均绝对误差(MAE)和均方根误差(RMSE)最低.不同预测方法对同种土壤重金属元素预测结果的空间分布趋势基本一致,8种重金属含量的高值区均分布在南部的平原地区,但RF模型对空间预测的细节刻画得更为突出.随机森林影响因子重要性排序表明,兰溪市土壤重金属含量空间分异主要受Se、TN、pH、海拔、年均温、年均降雨量、距河流距离和距工厂距离的共同影响.因此,随机森林可以作为土壤重金属空间预测的一种有效方法,为区域土壤污染调查、评价和管控提供科学参考.

关键词：土壤重金属环境变量随机森林空间预测影响因子

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