发布求助
文献互助 智能选刊 最新文献

2009 First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing最新文献

筛选
英文 中文
Abstracting GIS layers from hyperspectral imagery 从高光谱图像中提取GIS层
2009 First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing Pub Date : 2012-11-19 DOI: 10.1109/WHISPERS.2009.5289023
Torsten E. Howard, M. Mendenhall, Gilbert L. Peterson
{"title":"Abstracting GIS layers from hyperspectral imagery","authors":"Torsten E. Howard, M. Mendenhall, Gilbert L. Peterson","doi":"10.1109/WHISPERS.2009.5289023","DOIUrl":"https://doi.org/10.1109/WHISPERS.2009.5289023","url":null,"abstract":"The spectral-spatial relationship of materials in a hyperspectral image cube is exploited to partially automate the creation of Geographic Information System (GIS) layers. The topological neighborhood preservation property of the Self Organizing Map (SOM) is clustered into six (partially overlapping) neighborhoods that are mapped into the image domain to locate in-scene structures of similar material type. GIS layers are abstracted through spatial logical and morphological operations on the six image domain material maps and a novel road finding algorithm connects road segments under significant tree-occlusion resulting in a contiguous road network. It is assumed that specific knowledge of the scene (e.g. endmember spectra) is not available. The results are eight separate high-quality GIS layers (Vegetation, Trees, Fields, Buildings, Major Buildings, Roadways, and Parking Areas) that follow the scene features of the hyperspectral image and are separately and automatically labeled. The material maps resulting from clustering the SOMhave an 84.3% average accuracy, which increases to 93.9% after spatial processing into GIS layers.","PeriodicalId":242447,"journal":{"name":"2009 First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129536242","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Rangeland monitoring using hyperspectral remote sensing data and spectral mixture analysis 基于高光谱遥感数据和光谱混合分析的牧场监测
2009 First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing Pub Date : 2009-11-13 DOI: 10.1109/WHISPERS.2009.5335873
N. Rochdi, P. Eddy, K. Staenz, Jinkai Zhang
{"title":"Rangeland monitoring using hyperspectral remote sensing data and spectral mixture analysis","authors":"N. Rochdi, P. Eddy, K. Staenz, Jinkai Zhang","doi":"10.1109/WHISPERS.2009.5335873","DOIUrl":"https://doi.org/10.1109/WHISPERS.2009.5335873","url":null,"abstract":"The abundance mapping of rangeland plant communities using hyperspectral remote sensing data is investigated. The cover fraction of five rangeland components (green grass, yellow grass, litter, shrubs and soil) was estimated using constrained Spectral Mixture Analysis (SMA). Three sets of endmembers were assessed. The first set labeled the laboratory endmember refers to the laboratory reflectance measurements of different samples of leaves. The second set called field endmember is based on field spectra, while the third identifiled as modeled endmember was simulated using a canopy reflectance model. The three sets were applied to CHRIS/PROBA data using SMA to estimate the rangeland component cover fractions. Performances of these endmember sets were evaluated based on the field knowledge of the area of interest.","PeriodicalId":242447,"journal":{"name":"2009 First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122189062","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Hyperspectral pansharpening using QNR optimization constraint 基于QNR优化约束的高光谱泛锐化
2009 First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing Pub Date : 2009-10-16 DOI: 10.1109/WHISPERS.2009.5289027
M. Khan, J. Chanussot, L. Alparone
{"title":"Hyperspectral pansharpening using QNR optimization constraint","authors":"M. Khan, J. Chanussot, L. Alparone","doi":"10.1109/WHISPERS.2009.5289027","DOIUrl":"https://doi.org/10.1109/WHISPERS.2009.5289027","url":null,"abstract":"This paper presents a method for pansharpening of low resolution Hyperspectral (HS) images. The proposed method is based upon the optimization of both the spectral and spatial quality criteria of the QNR quality assessment index. The simultaneous optimization of the spectral and spatial quality constraints is obtained by means of the Pareto solutions, obtained by making use of an evolutionary algorithm. A selection criteria is defined to select a single solution from among the Pareto solutions and the results obtained show both quantitative and qualitative improvement over the results obtained by some existing pansharpening methods.","PeriodicalId":242447,"journal":{"name":"2009 First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125183681","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 9
A random measure approach for context estimation in hyperspectral imagery 高光谱图像环境估计的随机测量方法
2009 First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing Pub Date : 2009-10-16 DOI: 10.1109/WHISPERS.2009.5288988
Jeremy Bolton, P. Gader
{"title":"A random measure approach for context estimation in hyperspectral imagery","authors":"Jeremy Bolton, P. Gader","doi":"10.1109/WHISPERS.2009.5288988","DOIUrl":"https://doi.org/10.1109/WHISPERS.2009.5288988","url":null,"abstract":"In remotely sensed hyperspectral imagery (HSI), images are collected in the presence of various contextual factors which change the distribution of the observed data. Examples of these factors are suns intensity, atmospheric constituents, soil moisture, local shading, etc. In this paper, a context based classification algorithm is developed which implicitly identifies context without explicitly needing environmental data (as in may be unknown or locally variable). Spectra sets are clustered into groups of similar contexts using a random measure model. Then appropriate classifiers are constructed for each context. The resulting context-based classification algorithm constructed within the random set framework then aggregates the classifiers results in an ensemble-like fashion. Results indicate that the proposed approach performs well in the presence of contextual factors.","PeriodicalId":242447,"journal":{"name":"2009 First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125849829","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Hyperspectral image segmentation: The butterfly approach 高光谱图像分割:蝴蝶方法
2009 First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing Pub Date : 2009-10-16 DOI: 10.1109/WHISPERS.2009.5289062
N. Gorretta, J. Roger, G. Rabatel, V. Bellon-Maurel, C. Fiorio, C. Lelong
{"title":"Hyperspectral image segmentation: The butterfly approach","authors":"N. Gorretta, J. Roger, G. Rabatel, V. Bellon-Maurel, C. Fiorio, C. Lelong","doi":"10.1109/WHISPERS.2009.5289062","DOIUrl":"https://doi.org/10.1109/WHISPERS.2009.5289062","url":null,"abstract":"Few methods are proposed in the litterature for coupling the spectral and the spatial dimension available on hyperspectral images. This paper proposes a generic segmentation scheme named butterfly based on an iterative process and a cross analysis of spectral and spatial information. Indeed, spatial and spatial structures are extracted in spatial and spectral space respectively both taking into account the other one. To apply this layout on hyperspectral imgages, we focus particulary on spatial and spectral structures i.e. topologic concepts and latent variable for the spatial and the spectral space respectively. Moreover, a cooperation scheme with these structures is proposed. Finally, results obtained on real hyperspectral images using this specific implementation of the butterfly approach are presented and discussed.","PeriodicalId":242447,"journal":{"name":"2009 First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125398041","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 17
Furrow microrelief influence on the directional hiperspectral reflectance of soil at various illumination and observation conditions 不同光照和观测条件下沟槽微起伏对土壤定向高光谱反射率的影响
2009 First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing Pub Date : 2009-10-16 DOI: 10.1109/WHISPERS.2009.5289047
J. Cierniewski, Marcin Gulinski
{"title":"Furrow microrelief influence on the directional hiperspectral reflectance of soil at various illumination and observation conditions","authors":"J. Cierniewski, Marcin Gulinski","doi":"10.1109/WHISPERS.2009.5289047","DOIUrl":"https://doi.org/10.1109/WHISPERS.2009.5289047","url":null,"abstract":"The paper describes the results of an experiment designed to investigate the affects of furrow microrelief on the soil hyperspectral directional reflectance spectra collected at various illumination and observation conditions. The reflectance of four soil surfaces formed of the same sandy material, the smooth and the others with furrows of different depth, were measured by a laboratory prototype goniometric spectral device. The most spectacular effects of the furrows on the hyperspectral BRF spectra of the surfaces were observed along the light source principal plane from forward directions to the source at possible high view zenith angles if the source zenith angle θs is extremely high and its beams reaches the furrows at the horizontal angle of 90°. It was also found that the absorption features of the soil material used in the experiment, located at around 1420 nm, become less visible with increasing of the θs, independently on shape of the surfaces.","PeriodicalId":242447,"journal":{"name":"2009 First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126610481","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Using hyperspectral remote sensing data for retrieving canopy water content 利用高光谱遥感数据反演冠层含水量
2009 First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing Pub Date : 2009-10-16 DOI: 10.1109/WHISPERS.2009.5289058
J. Clevers, L. Kooistra
{"title":"Using hyperspectral remote sensing data for retrieving canopy water content","authors":"J. Clevers, L. Kooistra","doi":"10.1109/WHISPERS.2009.5289058","DOIUrl":"https://doi.org/10.1109/WHISPERS.2009.5289058","url":null,"abstract":"Canopy water content (CWC) is important for understanding functioning of terrestrial ecosystems. Spectral derivatives at the slopes of the 970 nm and 1200 nm water absorption features offer good potential as estimators for CWC. An extensively grazed fen meadow is used as test site in this study. Results are compared with simulations with the PROSAIL radiative transfer model. The first derivative at the left slope of the feature at 970 nm is found to be highly correlated with CWC and the relationship corresponds to the one found with PROSAIL simulations. Use of the derivative over the 940 – 950 nm interval is suggested. In order to avoid interference with absorption by atmospheric water vapour, the potential of estimating CWC using the first derivative at the right slope of the 970 nm absorption feature is recommended. Correlations are a bit lower than those at the left slope, but better than those obtained with water band indices, as shown in previous studies. FieldSpec measurements show that one may use derivatives around the middle of the right slope within the interval between 1015 nm and 1050 nm.","PeriodicalId":242447,"journal":{"name":"2009 First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing","volume":"171 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116060092","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Calibration pipeline of VIS-NIR imaging spectrometers for planetary exploration: The rosetta VIRTIS-M case 行星探测用VIS-NIR成像光谱仪的校准管道:以罗塞塔VIRTIS-M为例
2009 First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing Pub Date : 2009-10-16 DOI: 10.1109/WHISPERS.2009.5289050
G. Filacchione, F. Capaccioni, E. Ammannito, A. Coradini, M. D. Sanctis, G. Piccioni
{"title":"Calibration pipeline of VIS-NIR imaging spectrometers for planetary exploration: The rosetta VIRTIS-M case","authors":"G. Filacchione, F. Capaccioni, E. Ammannito, A. Coradini, M. D. Sanctis, G. Piccioni","doi":"10.1109/WHISPERS.2009.5289050","DOIUrl":"https://doi.org/10.1109/WHISPERS.2009.5289050","url":null,"abstract":"The capability of spaceborne VIS-NIR imaging spectrometers devoted to planetary exploration to acquire valuable scientific datasets largely depends on the accuracy of the calibration pipeline. In this paper we discuss about the method currently used to calibrate the flight data of VIRTISM (Visible InfraRed Thermal Imaging Spectrometer, Mapping Channel) on board the ESA Rosetta mission to comet 67P/Churyumov-Gerasimenko. By using both prelaunch characterization measurements and in-flight observations of well-known astronomical targets (acquired during two flybys of the Earth and one of Mars), we have built a pipeline able to convert raw engineering units (DN/s) in physical units (spectral radiance Wm−2µm−1sr−1 or reflectance I/F). This methodology and the resulting scientific data are discussed in detail.","PeriodicalId":242447,"journal":{"name":"2009 First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing","volume":"158 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122950162","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Mapping spatio-temporal variation in Douglas-fir (Pseudotsuga menziesii) foliar biochemistry Douglas-fir (pseudosuga menziesii)叶片生物化学的时空变化
2009 First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing Pub Date : 2009-10-16 DOI: 10.1109/WHISPERS.2009.5289030
D. Goodenough, K. Niemann, G. Quinn, Jessie Liu
{"title":"Mapping spatio-temporal variation in Douglas-fir (Pseudotsuga menziesii) foliar biochemistry","authors":"D. Goodenough, K. Niemann, G. Quinn, Jessie Liu","doi":"10.1109/WHISPERS.2009.5289030","DOIUrl":"https://doi.org/10.1109/WHISPERS.2009.5289030","url":null,"abstract":"A high resolution imaging spectroscopy study was conducted, which investigated the spatial and temporal diversity of biochemistry in Douglas-fir (Pseudotsuga menziesii) stands of southern Vancouver Island, Canada. An AVIRIS dataset with a nominal spatial resolution of 4m was acquired coincident with sample acquisition that measured organic and inorganic chemistry. An AISA dataset was colledted for the same study site. Partial least-squares regression was applied and chemistry was modeled from reflectance. Nitrogen, chlorophyll (a, b) were selected as contributing to reflectance responses. Chemistry estimation achieved R2 values ≥ 0.93 for both datasets. The models applied to the hyperspectral imagery yielded two temporally discrete datasets of biochemistry. Change detection analysis was conducted with attention to chlorophyll a/b for its ability to indentify regions of forest disturbance and stress. Factors affecting biochemistry were investigated with reference to laboratory data (management strategy and maturity).","PeriodicalId":242447,"journal":{"name":"2009 First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129111331","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Hyperspectral and Luminescence Observer (HALO) Mars mission concept - innovative data triage, compression, processing and analysis for the hyperspectral imager 高光谱和发光观测者(HALO)火星任务概念——创新的高光谱成像仪数据分类、压缩、处理和分析
2009 First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing Pub Date : 2009-10-16 DOI: 10.1109/WHISPERS.2009.5289049
E. Cloutis, B. Vila, Andrew Bell, M. Lamothe
{"title":"Hyperspectral and Luminescence Observer (HALO) Mars mission concept - innovative data triage, compression, processing and analysis for the hyperspectral imager","authors":"E. Cloutis, B. Vila, Andrew Bell, M. Lamothe","doi":"10.1109/WHISPERS.2009.5289049","DOIUrl":"https://doi.org/10.1109/WHISPERS.2009.5289049","url":null,"abstract":"The Hyperspectral and Luminescence Observer (HALO) instrument concept, designed to conduct surface mapping of Mars as part of the Mars Sample Return Network (MSRNET) program utilizes a number of innovative elements to allow mapping of surficial geology of large parts of Mars at high spectral and spatial resolution, with wide wavelength and areal coverage, and high SNR. Much of this efficiency is gained through the application of Gaussian spectral deconvolution. This approach, which will be implemented on board the spacecraft, can provide an approximate order of magnitude reduction in data volumes, enable scientifically interesting targets to be identified on the fly, facilitate spectral analysis, and provide physically meaningful spectral parameters.","PeriodicalId":242447,"journal":{"name":"2009 First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121675856","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：604180095
Book学术官方微信