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Experimental research on oil fi lm thickness and its microwave scattering during emulsifi cation

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Journal of Oceanology and Limnology 2022年第4期40卷 1361-1376页

作者： Jie GUO Chenqi XU Genwang LIU Xi ZHANG Junmin MENG guangbo ren Yantai Institute of Coastal Zone Research Chinese Academy of Sciences(CAS)CAS Key Laboratory of Coastal Environmental Processes and Ecological RemediationYantai 264003China Shandong Key Laboratory of Coastal Environmental Processes Yantai Institute of Coastal Zone ResearchCASYantai 264003China Center for Ocean Mega-Science CASQingdao 266071China University of Chinese Academy of Sciences Beijing 100049China First Institute of Oceanography Ministry of Natural ResourcesQingdao 266061China

Synthetic Aperture Radar(SAR) plays a major role in identifying oil spills on the sea ***,obtaining information of oil spill thickness(volume) is still a *** is an important process affecting the thickness and normalized radar cross section(NRCS) of oil *** 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 *** 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 *** 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 *** relationship between thickness and NRCS of oil film was studied under two experimental *** 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 *** 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 *** 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.

关键词： crude oil emulsifi cation normalized radar cross section(NRCS) moisture content oil fi lm thickness damping ratio 1

Multimodal hyperspectral remote sensing: an overview and perspective

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Science China(Information Sciences) 2021年第2期64卷 115-138页

作者： Yanfeng GU Tianzhu LIU Guoming GAO guangbo ren Yi MA Jocelyn CHANUSSOT Xiuping JIA School of Electronics and Information Engineering Harbin Institute of Technology Heilongjiang Province Key Laboratory of Space-Air-Ground Integrated Intelligent Remote Sensing First Institute of Oceangraphy Ministry of Natural Resources GIPSA-Lab Grenoble Institute of Technology School of Engineering and Information Technology University of New South Wales

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.

关键词： hyperspectral image processing multitemporal hyperspectral imaging hyperspectral video imaging hyperspectral stereo imaging multimodal hyperspectral remote sensing imaging

Coastal wetland hyperspectral classification under the collaborative of subspace partition and infinite probabilistic latent graph ranking

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Science China(Technological Sciences) 2022年第4期65卷 759-777页

作者： HU YaBin ren guangbo MA Yi YANG JunFang WANG JianBu AN JuBai LIANG Jian MA YuanQing SONG XiuKai First Institute of Oceanography Ministry of Natural ResourcesQingdao 266061China Technology Innovation Center for Ocean Telemetry Ministry of Natural ResourcesQingdao 266061China College of Oceanography and Space Informatics China University of PetroleumQingdao 266580China Information Science and Technology College Dalian Maritime UniversityDalian 116026China Nantong Academy of Intelligent Sensing Nantong 226001China Shandong Marine Resources and Environment Research Institute Yantai 264006China

The abundance of spectral information provided by hyperspectral imagery offers great benefits for many ***,processing such high-dimensional data volumes is a challenge because there may be redundant bands owing to the high interband *** study aimed to reduce the possibility of“dimension disaster”in the classification of coastal wetlands using hyperspectral images with limited training *** 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 *** RPnet model overcame the problem of dimension disaster caused by the mismatch between the dimensionality of hyperspectral bands and the small number of training *** 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 *** overall accuracy was nearly 4%higher on average compared with that of multi-kernel SVM and RF *** 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.

关键词： coastal wetland hyperspectral image dimensionality reduction classification limited training data

面向滨海湿地修复治理的生态系统服务净价值遥感评估研究——以黄河口湿地为例

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海洋开发与管理 2024年第3期41卷 28-44页

作者：任令祺任广波王建步胡亚斌马毅包玉海内蒙古师范大学地理科学学院呼和浩特010010 自然资源部第一海洋研究所青岛266061

文章以黄河口湿地为研究区,在生态系统服务价值概念的基础上,提出了一种考虑成本投入的生态系统服务净价值估算方法,通过时间序列遥感监测,估算并分析了2019—2022年的黄河口湿地生态系统服务净价值。结果表明:(1)在黄河口湿地的11种生... 详细信息

文章以黄河口湿地为研究区,在生态系统服务价值概念的基础上,提出了一种考虑成本投入的生态系统服务净价值估算方法,通过时间序列遥感监测,估算并分析了2019—2022年的黄河口湿地生态系统服务净价值。结果表明:(1)在黄河口湿地的11种生态系统服务类型中,生物多样性、固碳、食物供给和消浪护岸是主导生态系统服务,浅海水域、芦苇、盐地碱蓬和潮滩净价值能力较强。2022年生态系统服务净价值比2021年减少了4.08亿元,主要是2022年净价值能力较强的盐地碱蓬大面积消失导致。(2)尽管在2019年和2020年,典型生态修复项目在施工后的第一年净效益呈现负值,但应发挥的生态系统服务净价值已达到预期。(3)通过敏感性分析证明了消浪护岸、食物供给、固碳和生物多样性在众多生态系统服务中具有重要作用。生态系统服务净价值估算可以比较分析不同的湿地类型产生的最大净价值,为合理的规划和管理滨海湿地生态系统提供科学依据。

关键词：生态系统服务净价值成本分析环境保护生态修复

Distribution and invasion of Spartina alterniflora within the Jiaozhou Bay monitored by remote sensing image

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Acta Oceanologica Sinica 2022年第6期41卷 31-40页

作者： Jianbu Wang Zhaoyang Lin Yuanqing Ma guangbo ren Zijun Xu Xiukai Song Yi Ma Andong Wang Yajie Zhao Laboratory of Marine Physics and Remote Sensing First Institute of OceanographyMinistry of Natural ResourcesQingdao 266061China School of Information and Electrics Beijing Institute of TechnologyBeijing 100081China Shandong Marine Resources and Environment Research Institute Shandong Provincial Key Laboratory of Restoration for Marine EcologyYantai 264006China North China Sea Environmental Monitoring Center State Oceanic AdministrationQingdao 266033China Shandong Yellow River Delta National Nature Reserve Administration Committee Dongying 257091China

Spartina alterniflora as an alien invasive plant,poses a serious threat to the ecological functions of the coastal wetland of the Jiaozhou *** of 2019,the distribution area of *** in the Jiaozhou Bay has reached more than 500 hm^(2).For this reason,combined with field surveys,remote sensing monitoring of the invasion *** in the Jiaozhou Bay has been carried *** accurately identify *** 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 *** on distribution of *** extracted by the proposed method,the temporal and spatial distribution characteristics of *** were *** then combined with environmental factors,the invasion mechanism of *** in the Jiaozhou Bay was analyzed in *** the monitoring results,it can be seen that *** in Jiaozhou Bay is mainly distributed in the beaches near the Yanghe River Estuary and its southern side,the Dagu River Estuary and the Nü*** alterniflora first broke out near the Yanghe River Estuary and gradually spread to the tidal flats near the Nü*** Dagu River Estuary is dominated by ***,whose area has not changed much over the years,and a small amount of *** has invaded later.

关键词： Spartina alterniflora remote sensing coastal wetland deep residual network

基于高分影像光谱特征的广西海岸带红树林精细分类与制图

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地球信息科学学报 2021年第12期23卷 2292-2304页

作者：马云梅吴培强任广波自然资源部第一海洋研究所青岛266061

准确了解我国海岸带红树林种类组成有助于红树林资源调查、保护和利用。本文基于广西海岸带2018—2020年共14景GF-2多光谱影像,通过植被指数法和一阶微分法进行光谱特征数据重构,使用支持向量机分类方法,对广西海岸带红树林开展种间精... 详细信息

准确了解我国海岸带红树林种类组成有助于红树林资源调查、保护和利用。本文基于广西海岸带2018—2020年共14景GF-2多光谱影像,通过植被指数法和一阶微分法进行光谱特征数据重构,使用支持向量机分类方法,对广西海岸带红树林开展种间精细分类研究。结合现场数据以茅尾海为例,通过与原始数据和一阶微分的分类结果进行对比分析,来验证光谱特征数据重构对红树林种类识别的有效性。结果表明,基于光谱特征重构数据的分类精度最高,为91.55%,Kappa系数为0.8695,分别比原始数据和一阶微分提高了6.92%和11.17%。以此开展了广西整个海岸带红树林类型识别,结果表明,广西主要分布有7种真红树分别为桐花树、白骨壤、无瓣海桑、秋茄、红海榄、木榄、老鼠簕和一种盐沼草本植物茳芏,湿地植被总面积为7402.98 hm^(2),防城港市、钦州市和北海市红树林面积分别为1826.16、2496.18和3080.47 hm^(2),其中桐花树和白骨壤为广西红树林优势物种,分布面积最大,分别为3372.09 hm^(2)和3445.17 hm^(2),二者占总面积的92.09%,其次为茳芏287.50 hm^(2)占总面积3.88%,无瓣海桑与红海榄次之,面积分别为135.97 hm^(2)和126.52 hm^(2),共占红树林总面积的3.55%,老鼠簕、木榄和秋茄面积极少,均不足20 hm^(2),三者相加不足红树林总面积的1%。北仑河口、山口和茅尾海3个红树林自然保护区的红树林总面积分别为1009.21、715.56和1546.62 hm^(2)。本文基于高分数据的光谱特征数据重构方法开展红树林精细分类研究,可以为广西红树林管理、保护和重建提供技术和数据支撑。

关键词：红树林种间分类广西高分数据数据重构

结合深度学习和植被指数的滨海湿地高分二号遥感影像信息提取

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遥感学报 2023年第6期27卷 1376-1386页

作者：崔宾阁吴景李心慧任广波路燕山东科技大学计算机科学与工程学院青岛266590 自然资源部第一海洋研究所青岛266061

针对滨海湿地植被光谱特征相似而易被混淆分类的问题,本文提出了结合深度学习和植被指数的滨海湿地信息提取网络MFVNet。该网络以高分辨率遥感影像和典型植被指数为输入,将UNet中的双卷积操作替换为本文提出的增强多尺度特征提取模块,... 详细信息

针对滨海湿地植被光谱特征相似而易被混淆分类的问题,本文提出了结合深度学习和植被指数的滨海湿地信息提取网络MFVNet。该网络以高分辨率遥感影像和典型植被指数为输入,将UNet中的双卷积操作替换为本文提出的增强多尺度特征提取模块,用于捕获不同尺度的上下文特征,并在解码器中融合不同感受野的语义特征图,增强了滨海湿地地物的特征表示。在黄河口滨海湿地高分二号遥感影像上进行了实验,结果表明:(1)深度学习方法的信息提取精度普遍优于传统的机器学习分类方法 SVM;相比HRNet等深度语义分割网络,MFVNet在滨海湿地植被类型上取得了更好的信息提取结果;(2)将修正土壤调节植被指数MSAVI、差值植被指数DVI和比值植被指数RVI与高分二号影像拼接对滨海湿地信息提取贡献较大。

关键词：遥感滨海湿地信息提取高分二号深度卷积神经网络 MFVNet模型植被指数

基于HJ-1A高光谱的黄河口碱蓬和柽柳盖度反演模型研究

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海洋学报 2015年第9期37卷 51-58页

作者：任广波张杰马毅国家海洋局第一海洋研究所海洋物理与遥感研究室山东青岛266061

碱蓬和柽柳是黄河口湿地典型的盐生植物类型,是多种保护珍禽的主要栖息地,具有景观尺度较小、分布广且多混生的特点。应用覆盖黄河口北部潮滩的HJ-1A高光谱遥感影像,基于现场测量的端元光谱和从遥感影像中使用顺序最大角凸锥法(SAMCC)... 详细信息

碱蓬和柽柳是黄河口湿地典型的盐生植物类型,是多种保护珍禽的主要栖息地,具有景观尺度较小、分布广且多混生的特点。应用覆盖黄河口北部潮滩的HJ-1A高光谱遥感影像,基于现场测量的端元光谱和从遥感影像中使用顺序最大角凸锥法(SAMCC)自动提取的端元光谱,应用线性光谱分解法(LSU)、正交子空间投影法(OSP)、匹配滤波法(MF)、最小能量约束法(CEM)和自适应一致估计法(ACE)5种不同光谱解混方法进行混合像元光谱解混,对比两种方法得到的端元光谱分别对碱蓬和柽柳盖度的反演能力,并给出相应的反演模型。结果显示:(1)现场测量端元光谱取得了较好的碱蓬和柽柳盖度反演结果,其中应用LSU方法的光谱解混结果与现场测量盖度的决定系数对于碱蓬和柽柳分别达到了0.88和0.95;(2)两种端元获取方式的光谱解混结果中,LSU和OSP方法均获得了较高的相关性,ACE解混方法的相关性都最低;(3)SAMCC方法提取端元光谱对柽柳的分解结果与现场测量盖度的相关性远高于碱蓬。

关键词： HJ-1A高光谱黄河口湿地碱蓬柽柳植被盖度

海面溢油无人机高光谱遥感检测与厚度估算方法

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海洋学报 2019年第5期41卷 146-158页

作者：任广波过杰马毅罗旭东自然资源部第一海洋研究所山东青岛266061 中国科学院烟台海岸带过程研究所山东烟台264003 广州星博科仪有限公司广东广州510070

海上溢油是海洋国家所面临的共同问题,但至今仍没有一种可靠实用的海上溢油准确识别和油量遥感监测方法。为此,本文以无人机高光谱遥感为手段,开展了海面溢油检测与厚度估算方法研究。实验中,通过搭建室外大型水槽溢油实验装置,获取了... 详细信息

海上溢油是海洋国家所面临的共同问题,但至今仍没有一种可靠实用的海上溢油准确识别和油量遥感监测方法。为此,本文以无人机高光谱遥感为手段,开展了海面溢油检测与厚度估算方法研究。实验中,通过搭建室外大型水槽溢油实验装置,获取了模拟真实海洋环境条件下不同溢油量的遥感和现场光谱数据,在此基础上,分析并提取了海上溢油特征光谱波段,给出了海上溢油高光谱检测模型;针对现场实验条件下水面油膜厚度难以测定的问题,设计了3种利用总体溢油量的油膜厚度估算模型。得到如下主要结论:(1)675 nm和699 nm是海上溢油检测的有效特征波段,但对极薄的油膜没有检测能力;(2)提出了归一化溢油指数模型、反比例模型和吸收基线模型等3种海上溢油油膜厚度估算模型,其中对于薄油膜(厚度≤5μm)和厚油膜(厚度>50μm),反比例模型是溢油厚度反演的首选也是唯一选择。对于中厚度油膜,晴朗天气条件下,归一化溢油指数模型是油膜厚度反演的首选,同时反比例模型和溢油吸收基线模型也都有较好的反演能力,而在多云天气条件下,反比例模型效果最佳。

关键词：溢油检测溢油厚度评估无人机高光谱溢油遥感