检索结果-南通市图书馆

hyperspectral remote sensing identification of marine oil emulsions based on the fusion of spatial and spectral features

引用

Acta Oceanologica Sinica 2024年第3期43卷 139-154页

作者： Xinyue Huang Yi Ma Zongchen Jiang Junfang Yang School of Geography and Marine Science Nanjing UniversityNanjing 210023China First Institute of Oceanography Ministry of Natural ResourcesQingdao 266061China Marine Telemetry Technology Innovation Center Ministry of Natural ResourcesQingdao 266061China Harbin Institute of Technology Harbin 150001China China University of Petroleum(East China) Qingdao 266061China

Marine oil spill emulsions are difficult to recover,and the damage to the environment is not easy to *** use of remote sensing to accurately identify oil spill emulsions is highly important for the protection of marine ***,the spectrum of oil emulsions changes due to different water *** remote sensing and deep learning can use spectral and spatial information to identify different types of oil ***,hyperspectral data can also cause information redundancy,reducing classification accuracy and efficiency,and even overfitting in machine learning *** address these problems,an oil emulsion deep-learning identification model with spatial-spectral feature fusion is established,and feature bands that can distinguish between crude oil,seawater,water-in-oil emulsion(WO),and oil-in-water emulsion(OW)are filtered based on a standard deviation threshold–mutual information *** oil spill airborne hyperspectral data,we conducted identification experiments on oil emulsions in different background waters and under different spatial and temporal conditions,analyzed the transferability of the model,and explored the effects of feature band selection and spectral resolution on the identification of oil *** results show the following.(1)The standard deviation–mutual information feature selection method is able to effectively extract feature bands that can distinguish between WO,OW,oil slick,and *** number of bands was reduced from 224 to 134 after feature selection on the Airborne Visible Infrared Imaging Spectrometer(AVIRIS)data and from 126 to 100 on the S185 data.(2)With feature selection,the overall accuracy and Kappa of the identification results for the training area are 91.80%and 0.86,respectively,improved by 2.62%and 0.04,and the overall accuracy and Kappa of the identification results for the migration area are 86.53%and 0.80,respectively,improved by 3.45%and 0.05.(3)The oil emulsion id

关键词： oil emulsions identification hyperspectral remote sensing feature selection convolutional neural network(CNN) spatial-temporal transferability

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Advances in spaceborne hyperspectral remote sensing in China

引用

Geo-Spatial Information Science 2021年第1期24卷 95-120,I0012页

作者： Yanfei Zhong Xinyu Wang Shaoyu Wang Liangpei Zhang State Key Laboratory of Information Engineering in Surveying Mapping and Remote SensingWuhan UniversityWuhanChina School of remote sensing and Information Engineering Wuhan UniversityWuhanChina

With the maturation of satellite technology,hyperspectral remote sensing(HRS)platforms have developed from the initial ground-based and airborne platforms into spaceborne platforms,which greatly promotes the civil application of HRS imagery in the fields of agriculture,forestry,and environmental *** is playing an important role in this evolution,especially in recent years,with the successful launch and operation of a series of civil hyper-spectral spacecraft and satellites,including the Shenzhou-3 spacecraft,the Gaofen-5 satellite,the SPARK satellite,the Zhuhai-1 satellite network for environmental and resources monitoring,the FengYun series of satellites for meteorological observation,and the Chang’E series of spacecraft for planetary *** Chinese spaceborne HRS platforms have various new characteristics,such as the wide swath width,high spatial resolution,wide spectral range,hyperspectral satellite networks,and *** paper focuses on the recent progress in Chinese spaceborne HRS,from the aspects of the typical satellite systems,the data processing,and the *** addition,the future development trends of HRS in China are also discussed and analyzed.

关键词： hyperspectral remote sensing spaceborne HRS hyperspectral image processing and remote sensing applications

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Feature extraction and analysis of reclaimed vegetation in ecological restoration area of abandoned mines based on hyperspectral remote sensing images

引用

Journal of Arid Land 2024年第10期16卷 1409-1425页

作者： MAO Zhengjun WANG Munan CHU Jiwei SUN Jiewen LIANG Wei YU Haiyong College of Geology and Environment Xi'an University of Science and TechnologyXi'an 710054China Ningxia Hui Autonomous Region remote sensing Survey Institute Yinchuan 750021China

The vegetation growth status largely represents the ecosystem function and environmental *** remote sensing data can effectively eliminate the effects of surface spectral reflectance and atmospheric scattering and directly reflect the vegetation parameter *** this study,the abandoned mining area in the Helan Mountains,China was taken as the study *** on hyperspectral remote sensing images of Zhuhai No.1 hyperspectral satellite,we used the pixel dichotomy model,which was constructed using the normalized difference vegetation index(NDVI),to estimate the vegetation coverage of the study area,and evaluated the vegetation growth status by five vegetation indices(NDVI,ratio vegetation index(RVI),photochemical vegetation index(PVI),red-green ratio index(RGI),and anthocyanin reflectance index 1(ARI1)).According to the results,the reclaimed vegetation growth status in the study area can be divided into four levels(unhealthy,low healthy,healthy,and very healthy).The overall vegetation growth status in the study area was generally at low healthy level,indicating that the vegetation growth status in the study area was not good due to short-time period restoration and harsh damaged environment such as high and steep rock ***,the unhealthy areas were mainly located in Dawukougou where abandoned mines were concentrated,indicating that the original mining activities have had a large effect on vegetation *** ecological restoration of abandoned mines,the vegetation coverage in the study area has increased to a certain extent,but the amplitude was not *** situation of vegetation coverage in the northern part of the study area was worse than that in the southern part,due to abandoned mines mainly concentrating in the northern part of the Helan *** combination of hyperspectral remote sensing data and vegetation indices can comprehensively extract the characteristics of vegetation,accurately analyze the plant gr

关键词： hyperspectral remote sensing abandoned mine ecological restoration vegetation growth status vegetation index vegetation coverage

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

The application of hyperspectral remote sensing to coast environment investigation

引用

Acta Oceanologica Sinica 2009年第2期28卷 1-13页

作者： ZHANG Liang ZHANG Bin CHEN Zhengchao ZHENG Lanfen TONG Qingxi State Key Laboratory of remote sensing Science Institute of Remote Sensing Applications Chinese Academy of Science Beijing 100101 China Naval Institute of Hydrographic Surveying and Charting Tianjin 300061 China Center for Earth Observation and Digital Earth Chinese Academy of Science Beijing 100190 China

Requirements for monitoring the coastal zone environment are first summarized. Then the appli- cation of hyperspectral remote sensing to coast environment investigation is introduced, such as the classification of coast beaches and bottom matter, target recognition, mine detection, oil spill identification and ocean color remote sensing. Finally, what is needed to follow on in application of hyperspectral remote sensing to coast environment is recommended.

关键词： hyperspectral remote sensing coastal zone ocean color remote sensing

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Radiative transfer models(RTMs)for field phenotyping inversion of rice based on UAV hyperspectral remote sensing

引用

International Journal of Agricultural and Biological Engineering 2017年第4期10卷 150-157页

作者： Yu Fenghua Xu Tongyu Du Wen Ma Hang Zhang Guosheng Chen Chunling College of Information and Electrical Engineering Shenyang Agricultural UniversityShenyang 110866China Liaoning Engineering Research Center for Information Technology in Agriculture Shenyang 110866China

The nondestructive and rapid acquisition of rice field phenotyping information is very important for the precision management of the rice growth *** this research,the phenotyping information LAI(leaf area index),leaf chlorophyll content(C_(ab)),canopy water content(C_(w)),and dry matter content(C_(dm))of rice was inversed based on the hyperspectral remote sensing technology of an unmanned aerial vehicle(UAV).The improved Sobol global sensitivity analysis(GSA)method was used to analyze the input parameters of the PROSAIL model in the spectral band range of 400-1100 nm,which was obtained by hyperspectral remote sensing by the *** results show that C_(ab) mainly affects the spectrum on 400-780 nm band,C_(dm) on 760-1000 nm band,C_(w) on 900-1100 nm band,and LAI on the entire *** hyperspectral data of the 400-1100 nm band of the rice canopy were acquired by using the M600 UAV remote sensing platform,and the radiance calibration was converted to the canopy emission *** combination with the PROSAIL model,the particle swarm optimization algorithm was used to retrieve rice phenotyping information by constructing the cost *** results showed the following:(1)an accuracy of R^(2)=0.833 and RMSE=0.0969,where RMSE denotes root-mean-square error,was obtained for C_(ab) retrieval;R^(2)=0.816 and RMSE=0.1012 for LAI inversion;R^(2)=0.793 and RMSE=0.1084 for C_(dm);and R^(2)=0.665 and RMSE=0.1325 for C_(w).The C_(w) inversion accuracy was not particularly high.(2)The same band will be affected by multiple parameters at the same time.(3)This study adopted the rice phenotyping information inversion method to expand the rice hyperspectral information acquisition field of a UAV based on the phenotypic information retrieval accuracy using a high level of field spectral radiometric *** inversion method featured a good mechanism,high universality,and easy implementation,which can provide a reference for nondestructive and rapid inversion of rice bioche

关键词： UAV rice phenotyping inversion hyperspectral remote sensing PROSAIL model global sensitivity analysis precision management

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Indication of the Expression of Transgene in Rice Plant Based on hyperspectral remote sensing Technique Ⅱ——Growth Monitoring of Samples in the Contrast Experiment

引用

光谱学与光谱分析 2011年第6期31卷 1621-1626页

作者： LI Ru CHEN Jin-song YUAN Ding-yang LIN Hui TAN Yan-ning YUE Yue-min Institute of Space and Earth Information Science The Chinese University of Hong KongHong KongChina China National Hybrid Rice R＆D Center/ Hunan Hybrid Rice Research Center Changsha 410125China Institute of Subtropical Agriculture Chinese Academy of SciencesChangsha 410125China

Since the complication of monitoring and evaluating the problems about the transgenic expression and its impacts on the receptor in the transgenic crop breeding and other relevant evaluated works,the authors in the present work tried to assess the differences of spectral parameters of the transgenic rice in contrast with its parent group quantitatively and qualitatively,fulfilling the growth monitoring of the transgenic *** spectral parameters(spectral morphological characteristics and indices) chosen are highly related to internal or external stresses to the receipts,and thus could be applied as indicators of biophysical or biochemical processes changes of *** ASD portable field spectroradiometer with high-density probe,fine foliar spectra of 8 groups were *** analyzing spectral angle and continuum removal,the spectral morphological differences and their locations of sample spectra were found which could be as auxiliary priori knowledge for quantitative *** investigating spectral indices of the samples,the quantitative differences of spectra were revealed about foliar chlorophyll a+b and carotenoid *** this study both the spectral differences between transgenic and parent groups and among transgenic groups were *** results show that hyperspectral technique is promising and a helpful auxiliary tool in the study of monitoring the transgenic crop and other relevant *** this technique,quantitative and qualitative results of sample spectra could be provided as prior knowledge,as certain orientation,for laboratory professional advanced transgenic breeding study.

关键词： Transgenic rice hyperspectral remote sensing Growth monitoring

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Retrieval of chlorophyll a and suspended solid concen-trations by hyperspectral remote sensing in Taihu Lake,China

引用

Chinese Journal of Oceanology and Limnology 2006年第4期24卷 428-434页

作者：杨顶田潘德炉张霄宇张晓峰何贤强李淑菁 Key Laboratory of Tropical Marine Environmental Dynamics （LED） South China Sea Institute of Oceanography Chinese Academy of Sciences Guangzhou 510301 China State Key Laboratory of Satellite Ocean Environment Dynamics Second Istitute of Oceanography SOA Hangzhou 310012China 不详

Chlorophyll α（ch1-α） and suspended solid concentrations are two frequently used water quality parameters for monitoring a lake. Traditional measurement of ch1-α and suspended solids, requiring laborious laboratory work, which is often expensive and time consuming. hyperspectral remote-sensing measurement provides a fast and easy tool for estimating water trophic status. In situ hyperspectral data on March 7-8, July 6-7, September 20 and December 7-8, 2004 and the corresponding water chemical data were used to regress the algorithm of water quality parameters. Results showed that the peak of water leaving radiance around 700 nm （R700） varied proportionally with ch1-α concentration, and moved to infrared when algal bloom occurred. The reflectance ratio of R702/R685 was well correlated with ch1-α when water surface in no algal bloom case and the correlation coefficient was better if absorption of phycocyanin was considered. The reflectance ratio R620/R531 was highly correlated to the concentration of suspended solids. The relationship between suspended solids and other band groups were also compared. Secchi disk depth could be calculated by non-linear correlation with suspended solids concentration.

关键词： hyperspectral remote sensing chlorophyll a suspended solids Taihu Lake

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Optimal bandwidth selection for retrieving Cu content in rock based on hyperspectral remote sensing

引用

Journal of Arid Land 2022年第1期14卷 102-114页

作者： MA Xiumei ZHOU Kefa WANG Jinlin CUI Shichao ZHOU Shuguang WANG Shanshan ZHANG Guanbin State Key Laboratory of Desert and Oasis Ecology Xinjiang Institute of Ecology and GeographyChinese Academy of SciencesUrumqi 830011China Xinjiang Key Laboratory of Mineral Resources and Digital Geology Xinjiang Institute of Ecology and GeographyChinese Academy of SciencesUrumqi 830011China Xinjiang Research Centre for Mineral Resources Xinjiang Institute of Ecology and GeographyChinese Academy of SciencesUrumqi 830011China University of Chinese Academy of Sciences Beijing 100049China Xinjiang Academy of Science and Technology for Development Strategy Urumqi 830011China

hyperspectral remote sensing technology is widely used to detect element contents because of its multiple bands,high resolution,and abundant *** researchers have paid considerable attention to selecting the optimal bandwidth for the hyperspectral inversion of metal element contents in rocks,the influence of bandwidth on the inversion accuracy are *** this study,we collected 258 rock samples in and near the Kalatage polymetallic ore concentration area in the southwestern part of Hami City,Xinjiang Uygur Autonomous Region,China and measured the ground spectra of these *** original spectra were resampled with different bandwidths.A Partial Least Squares Regression(PLSR)model was used to invert Cu contents of rock samples and then the influence of different bandwidths on Cu content inversion accuracy was *** to the results,the PLSR model obtains the highest Cu content inversion accuracy at a bandwidth of 35 nm,with the model determination coefficient(R^(2))of *** PLSR inversion accuracy is relatively unaffected by the bandwidth within 5-80 nm,but the accuracy decreases significantly at 85 nm bandwidth(R^(2)=0.5473),and the accuracy gradually decreased at bandwidths beyond 85 ***,bandwidth has a certain impact on the inversion accuracy of Cu content in rocks using the PLSR *** study provides an indicator argument and theoretical basis for the future design of hyperspectral sensors for rock geochemistry.

关键词： hyperspectral remote sensing Cu element bandwidth Partial Least Squares Regression inversion accuracy Kalatage polymetallic ore concentration area

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Spatio-temporal assessment of soil salinization utilizing remote sensing derivatives,and prediction modeling:Implications for sustainable development

引用

Geoscience Frontiers 2024年第6期15卷 22-36页

作者： Prashant Kumar Prasoon Tiwari Arkoprovo Biswas Prashant Kumar Srivastava Department of Geology Centre of Advanced StudyInstitute of ScienceBanaras Hindu UniversityVaranasi 221005U.P.India Institute of Environment and Sustainable Development Banaras Hindu UniversityVaranasi 221005U.P.India

This study aims to investigate the combined use of multi-sensor datasets(Landsat 4–5&8 OLI satellite imagery,spatial resolution=30 m)coupled with field studies to evaluate spatio-temporal dynamics of soil salinization along the coastal belt in West Bengal,*** study assesses soil salinization by mapping the salinity and electrical conductivity of saturation extract(ECe)and utilizing spectral signatures for estimating soil *** SI change(%)was analyzed(2021–1995),categorizing increases in salinity levels into 5%,10%,and 50%changes possibly due to salt encrustation on the soil *** land use land cover(LULC)change map(2021–1995)demonstrates that the study area is continuously evolving in terms of ***,in the study area,soil salinity ranges from 0.03 ppt to 3.87 ppt,and ECe varies from 0.35 dSm^(-1)to 52.85 dSm^(-1).Additionally,vulnerable saline soil locations were further *** of soil salinity based on ECe reveals that 26%of samples fall into the nonsaline category,while the rest belong to the saline *** Spectral signatures of the soil samples(n=19)acquired from FieldSpec hand spectrometer show significant absorption features around 1400,1900,and 2250 nm and indicate salt *** results of reflectance spectroscopy were crossvalidated using X-ray fluorescence and scanning electron *** study also employed partial least square regression(PLSR)approach to predict ECe(r^(2)=0.79,RMSE=3.29)and salinity parameters(r^(2)=0.75,RMSE=0.51),suggesting PLSR applicability in monitoring salt-affected soils *** study’s conclusion emphasizes that remote sensing data and multivariate analysis can be crucial tools for mapping spatial variations and predicting soil *** has also been concluded that saline groundwater used for irrigation and aqua-cultural activities exacerbates soil *** study will help policymakers/farmers identify the salt degradation problem more effectivel

关键词： hyperspectral remote sensing Scanning electron microscopy X-ray fluorescence Partial least square regression Soil salinity Salinity index

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Progress in monitoring high-temperature damage to rice through satellite and ground-based optical remote sensing

引用

Science China Earth Sciences 2011年第10期54卷 1801-1811页

作者： ZHANG JiaHua YAO FengMei LI BingBai YAN Hao HOU YingYu CHENG GaoFeng Vijendra BOKEN Center for Earth Observation and Digital Earth Chinese Academy of Sciences Beijing 100094 China Laboratory for remote sensing and Climate Information Sciences Chinese Academy of Meteorological Sciences Beijing 100081 China College of Earth Sciences Chinese Academy of Sciences Beijing 100049 China Nanjing remote sensing Center Ministry ofAgriculture Nanjing 210014 China National Meteorological Center Beijing 100081 China Department of Geography and Earth Science University of Nebraska at Kearney Kearney NE 68849 USA

The occurrence of rice high-temperature damage (HTD) has increased with global warming. Cultivation of rice is seriously affected by the HTD in the middle and lower reaches of the Yangtze River, which directly affects food security in this region and in the whole of China. It is important to monitor and assess crop HTD using satellite remote sensing information. This paper reviews the recent development of monitoring rice HTD using optical remote sensing information. It includes the use of optical remote sensing information to obtain the regional spatial distribution of high temperatures, mixed-surface temperature retrieval for rice fields based on mixed decomposition information, the development of field and thermal infrared testing and modeling, and the satellite/ground-based remote sensing coupled method for monitoring rice HTD. Finally, the prospects for monitoring crop HTD based on remote sensing information are summarized.

关键词： satellite and ground-based optical remote sensing infrared remote sensing hyperspectral remote sensing rice high- temperature damage

来源：

维普期刊数据库

同方期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：